machinelearning

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commit f5555b89ba4cff61c189f54b321393ff4a414842
parent e80de437552874bb25304b963e14670382e4ee07
Author: Andrew <andrewlaack1@gmail.com>
Date:   Thu, 24 Oct 2024 17:52:49 -0500

Worked on some stuff

Diffstat:

M.gitignore | 6++++--


AcatIdentifier/CatOrDogIdentifierCNN.ipynb | 347+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++


MnnPruning/NaivePruningFashion.ipynb | 444+++++++++++++++++++++++++++++++++++++++++++++++++++++++------------------------


3 files changed, 663 insertions(+), 134 deletions(-)

diff --git a/.gitignore b/.gitignore
@@ -1,3 +1,5 @@
 datasets/
 models/
-graphs/-
\ No newline at end of file
+graphs/
+aiImageDetection/OriginalImages
+aiImageDetection/ManipulatedImages+
\ No newline at end of file
diff --git a/catIdentifier/CatOrDogIdentifierCNN.ipynb b/catIdentifier/CatOrDogIdentifierCNN.ipynb
@@ -0,0 +1,347 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Dataset From:\n",
+    "\n",
+    "https://www.kaggle.com/datasets/tongpython/cat-and-dog"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import keras\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from PIL import Image\n",
+    "import os\n",
+    "\n",
+    "\n",
+    "def load_image_numpy(img_path):\n",
+    "    image = Image.open(img_path)\n",
+    "    image = image.resize((150,150))\n",
+    "    img_arr = np.array(image)\n",
+    "    img_arr = img_arr / 255.0\n",
+    "    return img_arr\n",
+    "\n",
+    "\n",
+    "catPaths = os.listdir('../datasets/catVsDogImages/cats')\n",
+    "for i in range(0, len(catPaths)):\n",
+    "    catPaths[i] = '../datasets/catVsDogImages/cats/' + catPaths[i]\n",
+    "\n",
+    "\n",
+    "catImgs = []\n",
+    "for i in catPaths:\n",
+    "    catImgs.append(load_image_numpy(i))\n",
+    "\n",
+    "dogPaths = os.listdir('../datasets/catVsDogImages/dogs')\n",
+    "for i in range(0, len(dogPaths)):\n",
+    "    dogPaths[i] = '../datasets/catVsDogImages/dogs/' + dogPaths[i]\n",
+    "\n",
+    "\n",
+    "dogImgs = []\n",
+    "for i in dogPaths:\n",
+    "    dogImgs.append(load_image_numpy(i))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X = np.array(catImgs + dogImgs)\n",
+    "y = np.array([0] * len(catImgs) + [1] * len(dogImgs))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7f0482621d90>"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.imshow(X[2000])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.model_selection import train_test_split\n",
+    "\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X,y)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X_train = X_train.reshape(X_train.shape[0], -1)\n",
+    "X_test = X_test.reshape(X_test.shape[0], -1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.decomposition import PCA\n",
+    "\n",
+    "pca = PCA(n_components=.95)\n",
+    "\n",
+    "X_train = pca.fit_transform(X_train)\n",
+    "X_test = pca.transform(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(506, 476)"
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "X_test.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(1517, 476)"
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "X_train.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.preprocessing import StandardScaler\n",
+    "std = StandardScaler()\n",
+    "X_train = std.fit_transform(X_train)\n",
+    "X_test = std.transform(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model = keras.Sequential([\n",
+    "    keras.layers.Input(shape=X_train[0].shape),\n",
+    "    keras.layers.Dense(512, activation='relu'),\n",
+    "    keras.layers.Dropout(.3),\n",
+    "    keras.layers.Dense(512, activation='relu'),\n",
+    "    keras.layers.BatchNormalization(),\n",
+    "    keras.layers.Dense(256, activation='relu'),\n",
+    "    keras.layers.Dropout(.3),\n",
+    "    keras.layers.Dense(256, activation='relu'),\n",
+    "    keras.layers.BatchNormalization(),\n",
+    "    keras.layers.Dropout(.3),\n",
+    "    keras.layers.Dense(128, activation='relu'),\n",
+    "    keras.layers.Dropout(.3),\n",
+    "    keras.layers.Dense(128, activation='relu'),\n",
+    "    keras.layers.Dense(1, activation='sigmoid')\n",
+    "])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 1/20\n",
+      "\u001b[1m152/152\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 7ms/step - accuracy: 0.9560 - loss: 0.1256 - val_accuracy: 0.5613 - val_loss: 1.3363\n",
+      "Epoch 2/20\n",
+      "\u001b[1m152/152\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 5ms/step - accuracy: 0.9679 - loss: 0.1166 - val_accuracy: 0.6067 - val_loss: 1.1412\n",
+      "Epoch 3/20\n",
+      "\u001b[1m152/152\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - accuracy: 0.9731 - loss: 0.0962 - val_accuracy: 0.5929 - val_loss: 1.7505\n",
+      "Epoch 4/20\n",
+      "\u001b[1m152/152\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 5ms/step - accuracy: 0.9672 - loss: 0.0971 - val_accuracy: 0.5889 - val_loss: 1.5622\n",
+      "Epoch 5/20\n",
+      "\u001b[1m152/152\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 5ms/step - accuracy: 0.9646 - loss: 0.0917 - val_accuracy: 0.6067 - val_loss: 1.6817\n",
+      "Epoch 6/20\n",
+      "\u001b[1m152/152\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 5ms/step - accuracy: 0.9514 - loss: 0.1217 - val_accuracy: 0.6107 - val_loss: 1.6093\n",
+      "Epoch 7/20\n",
+      "\u001b[1m152/152\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 5ms/step - accuracy: 0.9658 - loss: 0.0948 - val_accuracy: 0.5810 - val_loss: 1.6161\n",
+      "Epoch 8/20\n",
+      "\u001b[1m152/152\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 5ms/step - accuracy: 0.9556 - loss: 0.1239 - val_accuracy: 0.5850 - val_loss: 1.9338\n",
+      "Epoch 9/20\n",
+      "\u001b[1m152/152\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - accuracy: 0.9754 - loss: 0.0816 - val_accuracy: 0.5791 - val_loss: 1.6988\n",
+      "Epoch 10/20\n",
+      "\u001b[1m152/152\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 5ms/step - accuracy: 0.9667 - loss: 0.1137 - val_accuracy: 0.5771 - val_loss: 1.7474\n",
+      "Epoch 11/20\n",
+      "\u001b[1m152/152\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 5ms/step - accuracy: 0.9719 - loss: 0.0750 - val_accuracy: 0.5711 - val_loss: 1.9768\n",
+      "Epoch 12/20\n",
+      "\u001b[1m152/152\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - accuracy: 0.9626 - loss: 0.0972 - val_accuracy: 0.5494 - val_loss: 1.6728\n",
+      "Epoch 13/20\n",
+      "\u001b[1m152/152\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 5ms/step - accuracy: 0.9688 - loss: 0.0977 - val_accuracy: 0.5830 - val_loss: 1.9562\n",
+      "Epoch 14/20\n",
+      "\u001b[1m152/152\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 5ms/step - accuracy: 0.9641 - loss: 0.0987 - val_accuracy: 0.5613 - val_loss: 1.5024\n",
+      "Epoch 15/20\n",
+      "\u001b[1m152/152\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 5ms/step - accuracy: 0.9736 - loss: 0.0750 - val_accuracy: 0.5751 - val_loss: 1.8563\n",
+      "Epoch 16/20\n",
+      "\u001b[1m152/152\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - accuracy: 0.9733 - loss: 0.0842 - val_accuracy: 0.5751 - val_loss: 1.5326\n",
+      "Epoch 17/20\n",
+      "\u001b[1m152/152\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 5ms/step - accuracy: 0.9607 - loss: 0.1385 - val_accuracy: 0.5889 - val_loss: 1.4378\n",
+      "Epoch 18/20\n",
+      "\u001b[1m152/152\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 5ms/step - accuracy: 0.9717 - loss: 0.0927 - val_accuracy: 0.5711 - val_loss: 1.8147\n",
+      "Epoch 19/20\n",
+      "\u001b[1m152/152\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 5ms/step - accuracy: 0.9839 - loss: 0.0491 - val_accuracy: 0.5474 - val_loss: 1.3703\n",
+      "Epoch 20/20\n",
+      "\u001b[1m152/152\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 5ms/step - accuracy: 0.9801 - loss: 0.0766 - val_accuracy: 0.5613 - val_loss: 1.7405\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<keras.src.callbacks.history.History at 0x7f04ece6fb90>"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "model.fit(x=X_train, y=y_train, batch_size=10, epochs=20, validation_data=(X_test,y_test))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[1m16/16\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step \n",
+      "Accuracy: 0.5770750988142292\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.metrics import accuracy_score\n",
+    "\n",
+    "y_pred = model.predict(X_test)\n",
+    "\n",
+    "y_predictions = []\n",
+    "for i in y_pred:\n",
+    "    y_predictions.append(round(i[0]))\n",
+    "\n",
+    "\n",
+    "accuracy = accuracy_score(y_pred=y_predictions, y_true=y_test)\n",
+    "\n",
+    "print(f\"Accuracy: {accuracy}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "y_predictions"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/nnPruning/NaivePruningFashion.ipynb b/nnPruning/NaivePruningFashion.ipynb
@@ -22,7 +22,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 247,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -31,7 +31,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 248,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -41,7 +41,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 249,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -54,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 250,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -76,17 +76,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 251,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024-10-24 17:48:44.695240: I external/local_tsl/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.\n",
+      "2024-10-24 17:48:44.698161: I external/local_tsl/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.\n",
+      "2024-10-24 17:48:44.731310: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
+      "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
+      "2024-10-24 17:48:45.486756: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
+      "2024-10-24 17:48:46.001707: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:998] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
+      "2024-10-24 17:48:46.002168: W tensorflow/core/common_runtime/gpu/gpu_device.cc:2251] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.\n",
+      "Skipping registering GPU devices...\n"
+     ]
+    },
+    {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential_15\"</span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential\"</span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[1mModel: \"sequential_15\"\u001b[0m\n"
+       "\u001b[1mModel: \"sequential\"\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -98,23 +112,23 @@
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
        "┃<span style=\"font-weight: bold\"> Layer (type)                    </span>┃<span style=\"font-weight: bold\"> Output Shape           </span>┃<span style=\"font-weight: bold\">       Param # </span>┃\n",
        "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
-       "│ dense_57 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)            │       <span style=\"color: #00af00; text-decoration-color: #00af00\">401,920</span> │\n",
+       "│ dense (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)            │       <span style=\"color: #00af00; text-decoration-color: #00af00\">401,920</span> │\n",
        "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ dense_58 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)            │       <span style=\"color: #00af00; text-decoration-color: #00af00\">262,656</span> │\n",
+       "│ dense_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)            │       <span style=\"color: #00af00; text-decoration-color: #00af00\">262,656</span> │\n",
        "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ batch_normalization_11          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)            │         <span style=\"color: #00af00; text-decoration-color: #00af00\">2,048</span> │\n",
+       "│ batch_normalization             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)            │         <span style=\"color: #00af00; text-decoration-color: #00af00\">2,048</span> │\n",
        "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)            │                        │               │\n",
        "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ dense_59 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)            │       <span style=\"color: #00af00; text-decoration-color: #00af00\">131,328</span> │\n",
+       "│ dense_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)            │       <span style=\"color: #00af00; text-decoration-color: #00af00\">131,328</span> │\n",
        "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ batch_normalization_12          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)            │         <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n",
+       "│ batch_normalization_1           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)            │         <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n",
        "│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)            │                        │               │\n",
        "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ dropout_7 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)            │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
+       "│ dropout (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)            │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
        "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ dense_60 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)            │        <span style=\"color: #00af00; text-decoration-color: #00af00\">32,896</span> │\n",
+       "│ dense_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)            │        <span style=\"color: #00af00; text-decoration-color: #00af00\">32,896</span> │\n",
        "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ dense_61 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>)             │         <span style=\"color: #00af00; text-decoration-color: #00af00\">1,290</span> │\n",
+       "│ dense_4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>)             │         <span style=\"color: #00af00; text-decoration-color: #00af00\">1,290</span> │\n",
        "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
        "</pre>\n"
       ],
@@ -122,23 +136,23 @@
        "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
        "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m      Param #\u001b[0m\u001b[1m \u001b[0m┃\n",
        "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
-       "│ dense_57 (\u001b[38;5;33mDense\u001b[0m)                │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)            │       \u001b[38;5;34m401,920\u001b[0m │\n",
+       "│ dense (\u001b[38;5;33mDense\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)            │       \u001b[38;5;34m401,920\u001b[0m │\n",
        "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ dense_58 (\u001b[38;5;33mDense\u001b[0m)                │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)            │       \u001b[38;5;34m262,656\u001b[0m │\n",
+       "│ dense_1 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)            │       \u001b[38;5;34m262,656\u001b[0m │\n",
        "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ batch_normalization_11          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)            │         \u001b[38;5;34m2,048\u001b[0m │\n",
+       "│ batch_normalization             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)            │         \u001b[38;5;34m2,048\u001b[0m │\n",
        "│ (\u001b[38;5;33mBatchNormalization\u001b[0m)            │                        │               │\n",
        "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ dense_59 (\u001b[38;5;33mDense\u001b[0m)                │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)            │       \u001b[38;5;34m131,328\u001b[0m │\n",
+       "│ dense_2 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)            │       \u001b[38;5;34m131,328\u001b[0m │\n",
        "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ batch_normalization_12          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)            │         \u001b[38;5;34m1,024\u001b[0m │\n",
+       "│ batch_normalization_1           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)            │         \u001b[38;5;34m1,024\u001b[0m │\n",
        "│ (\u001b[38;5;33mBatchNormalization\u001b[0m)            │                        │               │\n",
        "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ dropout_7 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)            │             \u001b[38;5;34m0\u001b[0m │\n",
+       "│ dropout (\u001b[38;5;33mDropout\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)            │             \u001b[38;5;34m0\u001b[0m │\n",
        "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ dense_60 (\u001b[38;5;33mDense\u001b[0m)                │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)            │        \u001b[38;5;34m32,896\u001b[0m │\n",
+       "│ dense_3 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m)            │        \u001b[38;5;34m32,896\u001b[0m │\n",
        "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ dense_61 (\u001b[38;5;33mDense\u001b[0m)                │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m)             │         \u001b[38;5;34m1,290\u001b[0m │\n",
+       "│ dense_4 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m)             │         \u001b[38;5;34m1,290\u001b[0m │\n",
        "└─────────────────────────────────┴────────────────────────┴───────────────┘\n"
       ]
      },
@@ -206,7 +220,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 252,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -215,7 +229,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 253,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -223,114 +237,114 @@
      "output_type": "stream",
      "text": [
       "Epoch 1/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 31ms/step - accuracy: 0.7238 - loss: 0.8328\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 22ms/step - accuracy: 0.7331 - loss: 0.8068\n",
       "Epoch 2/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 35ms/step - accuracy: 0.8638 - loss: 0.3770\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 24ms/step - accuracy: 0.8655 - loss: 0.3676\n",
       "Epoch 3/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 30ms/step - accuracy: 0.8770 - loss: 0.3335\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 22ms/step - accuracy: 0.8797 - loss: 0.3269\n",
       "Epoch 4/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 35ms/step - accuracy: 0.8874 - loss: 0.3060\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 24ms/step - accuracy: 0.8842 - loss: 0.3114\n",
       "Epoch 5/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 39ms/step - accuracy: 0.8958 - loss: 0.2791\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 21ms/step - accuracy: 0.8952 - loss: 0.2835\n",
       "Epoch 6/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 39ms/step - accuracy: 0.9008 - loss: 0.2675\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 22ms/step - accuracy: 0.9004 - loss: 0.2667\n",
       "Epoch 7/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 40ms/step - accuracy: 0.9040 - loss: 0.2596\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 28ms/step - accuracy: 0.9062 - loss: 0.2503\n",
       "Epoch 8/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 60ms/step - accuracy: 0.9065 - loss: 0.2471\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 24ms/step - accuracy: 0.9103 - loss: 0.2427\n",
       "Epoch 9/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 43ms/step - accuracy: 0.9051 - loss: 0.2535\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 21ms/step - accuracy: 0.9138 - loss: 0.2289\n",
       "Epoch 10/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 36ms/step - accuracy: 0.9045 - loss: 0.2558\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 26ms/step - accuracy: 0.9205 - loss: 0.2146\n",
       "Epoch 11/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 32ms/step - accuracy: 0.9090 - loss: 0.2420\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 26ms/step - accuracy: 0.9213 - loss: 0.2116\n",
       "Epoch 12/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 34ms/step - accuracy: 0.9142 - loss: 0.2272\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 29ms/step - accuracy: 0.9259 - loss: 0.1997\n",
       "Epoch 13/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 32ms/step - accuracy: 0.9238 - loss: 0.2070\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 27ms/step - accuracy: 0.9240 - loss: 0.2029\n",
       "Epoch 14/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 36ms/step - accuracy: 0.9238 - loss: 0.2045\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 27ms/step - accuracy: 0.9281 - loss: 0.1909\n",
       "Epoch 15/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 33ms/step - accuracy: 0.9202 - loss: 0.2110\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 23ms/step - accuracy: 0.9295 - loss: 0.1853\n",
       "Epoch 16/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 34ms/step - accuracy: 0.9266 - loss: 0.1918\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 28ms/step - accuracy: 0.9305 - loss: 0.1852\n",
       "Epoch 17/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 35ms/step - accuracy: 0.9311 - loss: 0.1818\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 28ms/step - accuracy: 0.9330 - loss: 0.1741\n",
       "Epoch 18/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 39ms/step - accuracy: 0.9359 - loss: 0.1736\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 23ms/step - accuracy: 0.9381 - loss: 0.1650\n",
       "Epoch 19/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 34ms/step - accuracy: 0.9357 - loss: 0.1710\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 24ms/step - accuracy: 0.9388 - loss: 0.1623\n",
       "Epoch 20/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 37ms/step - accuracy: 0.9377 - loss: 0.1657\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 25ms/step - accuracy: 0.9430 - loss: 0.1504\n",
       "Epoch 21/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 41ms/step - accuracy: 0.9394 - loss: 0.1588\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 22ms/step - accuracy: 0.9436 - loss: 0.1471\n",
       "Epoch 22/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 37ms/step - accuracy: 0.9391 - loss: 0.1605\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 24ms/step - accuracy: 0.9465 - loss: 0.1428\n",
       "Epoch 23/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 39ms/step - accuracy: 0.9446 - loss: 0.1479\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 28ms/step - accuracy: 0.9458 - loss: 0.1471\n",
       "Epoch 24/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 36ms/step - accuracy: 0.9472 - loss: 0.1403\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 28ms/step - accuracy: 0.9464 - loss: 0.1415\n",
       "Epoch 25/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 41ms/step - accuracy: 0.9478 - loss: 0.1344\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 24ms/step - accuracy: 0.9503 - loss: 0.1316\n",
       "Epoch 26/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 42ms/step - accuracy: 0.9446 - loss: 0.1471\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 24ms/step - accuracy: 0.9499 - loss: 0.1338\n",
       "Epoch 27/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 37ms/step - accuracy: 0.9513 - loss: 0.1278\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 24ms/step - accuracy: 0.9521 - loss: 0.1266\n",
       "Epoch 28/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 39ms/step - accuracy: 0.9532 - loss: 0.1221\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 26ms/step - accuracy: 0.9503 - loss: 0.1312\n",
       "Epoch 29/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 32ms/step - accuracy: 0.9531 - loss: 0.1228\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 24ms/step - accuracy: 0.9491 - loss: 0.1332\n",
       "Epoch 30/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 35ms/step - accuracy: 0.9559 - loss: 0.1166\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 25ms/step - accuracy: 0.9559 - loss: 0.1167\n",
       "Epoch 31/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 32ms/step - accuracy: 0.9491 - loss: 0.1314\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 25ms/step - accuracy: 0.9591 - loss: 0.1071\n",
       "Epoch 32/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 43ms/step - accuracy: 0.9562 - loss: 0.1157\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 24ms/step - accuracy: 0.9596 - loss: 0.1069\n",
       "Epoch 33/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 32ms/step - accuracy: 0.9587 - loss: 0.1093\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 29ms/step - accuracy: 0.9621 - loss: 0.1010\n",
       "Epoch 34/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 31ms/step - accuracy: 0.9582 - loss: 0.1092\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 25ms/step - accuracy: 0.9586 - loss: 0.1062\n",
       "Epoch 35/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 30ms/step - accuracy: 0.9612 - loss: 0.1025\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 26ms/step - accuracy: 0.9635 - loss: 0.0967\n",
       "Epoch 36/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 29ms/step - accuracy: 0.9637 - loss: 0.0972\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 26ms/step - accuracy: 0.9640 - loss: 0.0968\n",
       "Epoch 37/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 30ms/step - accuracy: 0.9649 - loss: 0.0905\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 25ms/step - accuracy: 0.9654 - loss: 0.0919\n",
       "Epoch 38/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 32ms/step - accuracy: 0.9647 - loss: 0.0953\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 24ms/step - accuracy: 0.9672 - loss: 0.0857\n",
       "Epoch 39/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 30ms/step - accuracy: 0.9659 - loss: 0.0911\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 27ms/step - accuracy: 0.9659 - loss: 0.0893\n",
       "Epoch 40/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 36ms/step - accuracy: 0.9687 - loss: 0.0828\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 25ms/step - accuracy: 0.9696 - loss: 0.0817\n",
       "Epoch 41/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 33ms/step - accuracy: 0.9691 - loss: 0.0804\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 25ms/step - accuracy: 0.9701 - loss: 0.0784\n",
       "Epoch 42/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 35ms/step - accuracy: 0.9658 - loss: 0.0893\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 24ms/step - accuracy: 0.9718 - loss: 0.0729\n",
       "Epoch 43/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 34ms/step - accuracy: 0.9642 - loss: 0.0943\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 26ms/step - accuracy: 0.9700 - loss: 0.0807\n",
       "Epoch 44/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 36ms/step - accuracy: 0.9681 - loss: 0.0822\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 25ms/step - accuracy: 0.9666 - loss: 0.0858\n",
       "Epoch 45/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 36ms/step - accuracy: 0.9703 - loss: 0.0773\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 24ms/step - accuracy: 0.9646 - loss: 0.0909\n",
       "Epoch 46/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 38ms/step - accuracy: 0.9723 - loss: 0.0719\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 24ms/step - accuracy: 0.9717 - loss: 0.0757\n",
       "Epoch 47/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 38ms/step - accuracy: 0.9716 - loss: 0.0723\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 25ms/step - accuracy: 0.9751 - loss: 0.0662\n",
       "Epoch 48/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 39ms/step - accuracy: 0.9732 - loss: 0.0703\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 24ms/step - accuracy: 0.9738 - loss: 0.0668\n",
       "Epoch 49/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 37ms/step - accuracy: 0.9717 - loss: 0.0743\n",
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 25ms/step - accuracy: 0.9756 - loss: 0.0646\n",
       "Epoch 50/50\n",
-      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 40ms/step - accuracy: 0.9760 - loss: 0.0639\n"
+      "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 25ms/step - accuracy: 0.9741 - loss: 0.0664\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "<keras.src.callbacks.history.History at 0x7f746f4076d0>"
+       "<keras.src.callbacks.history.History at 0x7f5852af0bd0>"
       ]
      },
-     "execution_count": 253,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -341,14 +355,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 254,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\u001b[1m313/313\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 2ms/step\n"
+      "\u001b[1m313/313\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 1ms/step\n"
      ]
     }
    ],
@@ -358,18 +372,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 255,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([9.9999624e-01, 1.6376542e-12, 1.1062847e-06, 5.7214750e-11,\n",
-       "       5.1883814e-07, 1.2025164e-10, 2.0674804e-06, 2.9590450e-13,\n",
-       "       7.2374801e-11, 7.2594625e-11], dtype=float32)"
+       "array([9.9220973e-01, 5.9291801e-07, 1.4035820e-06, 3.1673932e-07,\n",
+       "       4.2094553e-06, 1.4789060e-09, 7.7837552e-03, 2.4453586e-10,\n",
+       "       3.8267243e-09, 7.6906943e-09], dtype=float32)"
       ]
      },
-     "execution_count": 255,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -380,7 +394,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 256,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -389,7 +403,7 @@
        "array([1., 0., 0., 0., 0., 0., 0., 0., 0., 0.])"
       ]
      },
-     "execution_count": 256,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -400,7 +414,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 257,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -412,7 +426,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 258,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -423,7 +437,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 259,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -432,7 +446,7 @@
        "[0, 1, 2, 2, 3, 6, 8, 6, 5, 0]"
       ]
      },
-     "execution_count": 259,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -443,7 +457,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 260,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -452,7 +466,7 @@
        "[0, 1, 2, 2, 3, 2, 8, 6, 5, 0]"
       ]
      },
-     "execution_count": 260,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -463,16 +477,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 261,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0.8984"
+       "0.8995"
       ]
      },
-     "execution_count": 261,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -485,23 +499,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 262,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[864   4  21  14   2   1  89   0   5   0]\n",
-      " [  0 988   1   8   1   0   1   0   1   0]\n",
-      " [ 22   0 858  11  56   1  49   0   3   0]\n",
-      " [ 26  10   7 898  39   1  17   0   2   0]\n",
-      " [  2   3  90  14 850   0  39   0   2   0]\n",
-      " [  0   0   0   1   0 953   0  26   3  17]\n",
-      " [137   4  79  20  69   1 683   0   7   0]\n",
-      " [  0   0   0   0   0  15   0 972   0  13]\n",
-      " [  5   2   2   2   2   0   9   4 972   2]\n",
-      " [  0   0   0   0   0  10   0  44   0 946]]\n"
+      "[[840   1  14  12   3   4 119   1   6   0]\n",
+      " [  2 986   1   8   0   0   3   0   0   0]\n",
+      " [ 13   0 816   8 120   0  38   0   5   0]\n",
+      " [ 17  22   7 898  31   1  23   0   1   0]\n",
+      " [  2   2  39  18 901   1  36   0   1   0]\n",
+      " [  0   0   0   0   0 952   0  31   5  12]\n",
+      " [101   2  78  22  81   0 712   0   4   0]\n",
+      " [  0   0   0   0   0   6   0 976   1  17]\n",
+      " [  4   0   4   1   4   2  10   2 972   1]\n",
+      " [  0   0   0   0   0   3   0  54   1 942]]\n"
      ]
     }
    ],
@@ -514,12 +528,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 263,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -564,9 +578,161 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[array([[ 0.08454783, -0.05098309, -0.04616751, ...,  0.06632042,\n",
+       "         -0.05217841,  0.01232629],\n",
+       "        [-0.0529512 ,  0.00467757, -0.03662501, ..., -0.08718916,\n",
+       "          0.01971413,  0.05872909],\n",
+       "        [ 0.03779383, -0.04091078,  0.02633846, ..., -0.00778965,\n",
+       "         -0.05630131,  0.04108118],\n",
+       "        ...,\n",
+       "        [ 0.01152897, -0.08101085,  0.01823257, ..., -0.0205617 ,\n",
+       "         -0.12606516, -0.04726963],\n",
+       "        [ 0.02434475, -0.05446399,  0.00161054, ...,  0.0015396 ,\n",
+       "         -0.01188318, -0.10043874],\n",
+       "        [-0.04427422, -0.00988704,  0.04262575, ..., -0.02058123,\n",
+       "         -0.05206178,  0.00558643]], dtype=float32),\n",
+       " array([ 6.67025149e-02, -6.48351908e-02,  8.96135904e-03,  7.74898753e-02,\n",
+       "         5.02208099e-02,  5.26248105e-03, -8.10043048e-03, -1.04107223e-02,\n",
+       "         5.62812723e-02, -4.39162273e-03,  2.36019883e-02, -3.15822624e-02,\n",
+       "        -1.03224767e-03, -3.70393880e-02,  8.60195793e-03, -8.09552893e-03,\n",
+       "         3.91760319e-02,  6.49746358e-02,  3.39787191e-04,  3.13962139e-02,\n",
+       "        -1.64847877e-02,  3.46672311e-02,  1.32310912e-01, -5.89670334e-03,\n",
+       "        -1.33697288e-02,  2.63240635e-02,  4.48439550e-03,  4.54737898e-03,\n",
+       "         2.62818299e-02,  1.96660496e-02,  2.91804709e-02,  3.23776193e-02,\n",
+       "         1.00882715e-02,  2.12802663e-02, -2.16822717e-02,  4.86880951e-02,\n",
+       "         1.27961803e-02, -6.23180307e-02, -6.86503015e-03,  2.19246242e-02,\n",
+       "        -3.80160213e-02, -1.33764772e-02, -2.78035309e-02,  7.24991113e-02,\n",
+       "         4.38980833e-02, -1.31145567e-02, -7.95331821e-02,  1.17829353e-01,\n",
+       "         7.65682906e-02,  9.42144636e-03, -3.09614856e-02, -2.08251737e-02,\n",
+       "         1.82664096e-02,  7.76899457e-02,  1.83460470e-02,  2.59148236e-02,\n",
+       "         4.43009287e-03,  3.60324117e-03,  1.61220366e-03,  8.12385678e-02,\n",
+       "         1.42841628e-02, -2.38703247e-02,  4.01736461e-02,  2.70666610e-02,\n",
+       "         8.19975436e-02, -1.48505475e-02, -2.33125910e-02,  1.11394949e-01,\n",
+       "         1.42461740e-05, -5.39243370e-02,  8.54932517e-02,  2.44116765e-02,\n",
+       "        -2.71408446e-02,  1.70381535e-02,  1.36350328e-02, -2.29779389e-02,\n",
+       "         2.54731299e-03,  1.58162937e-02,  5.09508699e-03, -5.74031845e-02,\n",
+       "        -1.41982650e-02, -6.57597110e-02,  3.00787967e-02, -2.88566872e-02,\n",
+       "         7.80560193e-04, -6.31482676e-02, -2.33870205e-02,  7.95411617e-02,\n",
+       "         4.28625084e-02,  1.11334838e-01,  2.69801039e-02,  4.53688316e-02,\n",
+       "         4.04185504e-02, -3.17677244e-04,  7.20783696e-03, -9.30013806e-02,\n",
+       "         1.43534765e-02,  1.29759777e-02,  3.04906187e-03, -6.32892922e-02,\n",
+       "         5.51022515e-02,  4.95584682e-02, -6.17064163e-03, -1.49571579e-02,\n",
+       "        -6.23148354e-03, -5.75126894e-02, -2.08213869e-02, -1.52377700e-02,\n",
+       "         5.67473529e-04, -2.79246550e-02,  2.51257280e-03, -5.07347006e-03,\n",
+       "        -5.63088283e-02,  1.59230027e-02,  2.88392715e-02, -5.49843833e-02,\n",
+       "        -5.60203334e-03,  3.99401598e-02,  6.48093224e-02, -6.40543830e-03,\n",
+       "        -6.71263691e-03, -1.47173703e-02,  6.91259876e-02,  1.01106744e-02,\n",
+       "         8.96588434e-03,  1.19373994e-02, -4.90396209e-02,  1.32782515e-02,\n",
+       "        -4.02567489e-03,  1.04573481e-01, -2.48427875e-02,  5.14872139e-04,\n",
+       "        -3.58534940e-02,  2.18786281e-02, -2.03787908e-02,  1.48096830e-02,\n",
+       "         5.18971756e-02,  9.51515324e-03,  5.82710244e-02, -4.26020138e-02,\n",
+       "         3.05221099e-02,  1.06252832e-02, -5.44070676e-02, -2.27933470e-03,\n",
+       "        -5.20571470e-02, -2.34924932e-03, -9.36745014e-03, -3.53393564e-03,\n",
+       "         2.94360928e-02, -1.62051637e-02, -2.58429069e-03,  8.59572086e-03,\n",
+       "         9.85456035e-02, -4.06813994e-03, -9.81669594e-03,  2.96845790e-02,\n",
+       "        -1.81967150e-02, -3.60262692e-02,  5.98667152e-02, -1.33204237e-02,\n",
+       "        -1.12310341e-02,  1.17032500e-02, -6.58730641e-02,  6.35968000e-02,\n",
+       "        -3.82804796e-02, -6.04177490e-02, -3.11209876e-02, -3.76994285e-04,\n",
+       "         8.21387321e-02, -9.24617145e-03,  5.46354800e-02,  1.73117984e-02,\n",
+       "        -7.31705967e-03,  1.14239678e-02, -2.78365258e-02, -2.49437820e-02,\n",
+       "         5.76970261e-03, -6.48611933e-02,  4.13633659e-02, -1.07995747e-02,\n",
+       "         1.43664340e-02,  4.29632775e-02, -5.39758317e-02,  6.81054518e-02,\n",
+       "        -2.32428405e-02,  2.36772150e-02,  9.12302267e-03, -2.85037532e-02,\n",
+       "        -1.37815652e-02,  1.78093296e-02,  4.09769528e-02,  3.06042787e-02,\n",
+       "        -1.88611485e-02, -4.30043451e-02, -5.78223802e-02,  1.58756018e-01,\n",
+       "         1.14910915e-01, -4.35356013e-02,  2.68743373e-02, -1.09048048e-03,\n",
+       "        -2.87686009e-02, -1.64047617e-03,  3.19359638e-02,  2.48954445e-02,\n",
+       "        -1.23990010e-02,  3.14294361e-02, -7.31677264e-02, -3.09050083e-02,\n",
+       "        -1.52001921e-02, -3.50537673e-02, -2.89013106e-02,  5.68768233e-02,\n",
+       "        -8.29850137e-03,  4.27614152e-02,  5.41349202e-02, -2.34491602e-02,\n",
+       "         4.22167890e-02,  1.80702135e-01, -9.88851301e-03, -6.69028657e-03,\n",
+       "         1.87298236e-03,  4.52948362e-02, -1.46639356e-02,  7.09923804e-02,\n",
+       "         1.67470463e-02,  8.74400735e-02,  3.06419358e-02,  2.96499953e-02,\n",
+       "         2.49631256e-02,  2.53423844e-02, -5.37566245e-02,  1.18165061e-01,\n",
+       "         8.59691277e-02, -2.78971884e-02,  7.66887739e-02, -2.11541122e-03,\n",
+       "         6.71741441e-02, -1.70802157e-02,  6.51863366e-02,  5.86805381e-02,\n",
+       "        -2.22079717e-02,  1.63076483e-02,  1.41100856e-02,  1.23611214e-02,\n",
+       "         7.34195858e-02,  8.40411708e-03,  9.90935117e-02,  2.63773762e-02,\n",
+       "        -1.27116833e-02, -8.97971354e-03, -2.09459085e-02,  6.08176477e-02,\n",
+       "        -1.18746888e-03,  3.99580225e-02,  8.41351449e-02, -9.63668525e-03,\n",
+       "         2.67174114e-02,  7.48860687e-02, -3.24967913e-02,  3.43479012e-04,\n",
+       "         8.97536501e-02, -4.50268649e-02,  1.06858090e-01, -1.56591460e-02,\n",
+       "         3.47793195e-03,  3.63286920e-02, -1.38713447e-02, -4.79564518e-02,\n",
+       "         2.20379997e-02,  6.63399547e-02, -2.90442556e-02,  7.96480253e-02,\n",
+       "         3.53837162e-02,  9.35909059e-03, -3.40761207e-02, -1.66805387e-02,\n",
+       "        -1.02745913e-01,  4.20074444e-03,  4.63263206e-02,  8.31818208e-03,\n",
+       "        -1.11303357e-02,  7.81788379e-02, -1.38446996e-02,  2.09451746e-02,\n",
+       "         2.73621920e-02,  2.00774856e-02,  2.62355618e-02,  1.47767095e-02,\n",
+       "        -1.49381673e-03,  3.17577906e-02,  3.74071263e-02, -2.29913555e-02,\n",
+       "         2.83956099e-02,  4.30012643e-02, -3.62946764e-02,  4.23429683e-02,\n",
+       "         6.86931331e-03,  1.39244888e-02,  7.39490986e-02,  2.42529958e-02,\n",
+       "         1.25602549e-02, -1.13097753e-03,  3.42628919e-02,  6.55322596e-02,\n",
+       "        -3.10005918e-02,  2.08212323e-02,  2.20190454e-02,  3.65807265e-02,\n",
+       "         4.32189330e-02,  1.00127216e-02, -2.34282408e-02,  1.44732073e-02,\n",
+       "        -2.86562126e-02,  2.07785168e-03,  8.00691452e-03,  6.26016129e-03,\n",
+       "         4.25436720e-03, -5.28176092e-02, -2.07833014e-02,  1.32442834e-02,\n",
+       "         1.43008316e-02, -5.16064279e-02, -3.00741941e-02,  1.02726504e-01,\n",
+       "         3.64327384e-03,  2.10725497e-02, -2.13543512e-02, -1.85689311e-02,\n",
+       "        -1.37409586e-02, -4.03830260e-02,  3.84078696e-02, -3.88897862e-03,\n",
+       "        -3.83013976e-03,  4.64836881e-02,  3.15867807e-03,  1.52224768e-02,\n",
+       "         4.75724116e-02, -3.71970646e-02,  1.21691868e-01, -2.07152404e-03,\n",
+       "        -4.34292853e-02,  4.59217392e-02,  4.99858707e-02,  2.13617459e-02,\n",
+       "        -1.40371518e-02,  3.68467011e-02,  4.66825441e-02,  5.22719808e-02,\n",
+       "         4.75657508e-02,  4.92333174e-02, -1.37452316e-02, -2.16609649e-02,\n",
+       "        -2.94767469e-02,  4.42293733e-02,  8.05306900e-03,  4.30436768e-02,\n",
+       "         3.09169367e-02,  3.03586153e-03,  8.86451360e-03, -3.94265838e-02,\n",
+       "         1.20000526e-01,  2.64589302e-02, -2.56066266e-02, -1.50065199e-02,\n",
+       "        -8.73001385e-03, -3.80736887e-02, -1.99454520e-02, -2.24667136e-02,\n",
+       "         2.54471060e-02,  3.95988300e-03,  1.71692669e-02, -4.31194939e-02,\n",
+       "        -1.60197006e-03,  2.43819486e-02,  4.53526378e-02, -2.83546317e-02,\n",
+       "         9.47393849e-03, -3.63451727e-02,  1.63530111e-02, -1.12066017e-02,\n",
+       "         2.79785451e-02,  6.31254027e-03,  6.13662861e-02, -2.91502401e-02,\n",
+       "        -1.66457873e-02,  2.59106364e-02,  7.37313256e-02,  1.88655537e-02,\n",
+       "        -6.76015299e-03, -2.85965055e-02, -2.67611053e-02,  4.74370010e-02,\n",
+       "        -1.00759260e-01, -2.02660244e-02,  1.15286455e-01,  1.88764278e-02,\n",
+       "         4.86868322e-02,  8.55640247e-02,  1.58901196e-02, -5.47034182e-02,\n",
+       "        -2.01820005e-02, -8.08133278e-03,  2.71024983e-02, -7.08344672e-03,\n",
+       "        -5.78339584e-03, -1.78454095e-03,  3.73672135e-02,  3.49419340e-02,\n",
+       "        -3.14066373e-02,  9.58922203e-04,  6.65858015e-02, -2.86915414e-02,\n",
+       "         6.48145676e-02, -3.96812633e-02,  4.42832857e-02,  2.44307215e-03,\n",
+       "        -1.19309081e-02,  6.93908781e-02,  2.15752772e-03,  9.38279331e-02,\n",
+       "        -1.81190092e-02, -2.43434869e-02, -1.22260107e-02,  2.06455011e-02,\n",
+       "         5.23359403e-02, -8.87418818e-03,  1.30219441e-02,  1.11385882e-02,\n",
+       "        -2.42972486e-02,  4.37092073e-02,  1.93088856e-02, -4.12717238e-02,\n",
+       "         1.78094488e-02, -1.78493857e-02,  6.71600318e-03,  1.90298017e-02,\n",
+       "        -6.09736249e-04, -3.15604098e-02,  4.05093320e-02,  1.47739397e-02,\n",
+       "         1.19946711e-02, -2.71599237e-02,  1.22903377e-01,  3.89652932e-03,\n",
+       "        -3.17971967e-02, -1.36811659e-02,  2.24031508e-02, -3.82991508e-02,\n",
+       "        -1.72315706e-02,  6.69926479e-02, -3.46939429e-03, -7.96057358e-02,\n",
+       "        -1.18125556e-02,  4.37342338e-02,  2.38369852e-02,  2.50293631e-02,\n",
+       "         8.80027339e-02, -2.60384511e-02,  5.19163646e-02, -2.43317289e-03,\n",
+       "         3.32515351e-02, -2.72021419e-03, -3.76803577e-02,  3.42820249e-02,\n",
+       "        -2.82038152e-02, -4.90723811e-02,  2.82530282e-02,  1.51483063e-03,\n",
+       "         4.85456213e-02,  3.26632410e-02, -2.92662419e-02,  5.17779253e-02,\n",
+       "         8.03022161e-02, -1.56830996e-03, -7.67859071e-03,  7.35788643e-02,\n",
+       "         3.50075997e-02, -2.54020113e-02,  2.33081076e-02, -1.40188616e-02,\n",
+       "         8.33168477e-02, -6.59106579e-03, -7.54412338e-02, -2.65334975e-02,\n",
+       "         4.89935093e-02, -2.13595778e-02, -2.37485021e-03,  5.08222356e-02,\n",
+       "         4.21900628e-03,  5.56836203e-02,  1.33971078e-02, -9.59222764e-03,\n",
+       "         1.63696967e-02,  5.50045259e-03,  1.25113986e-02, -6.30294997e-03,\n",
+       "        -7.76878595e-02,  4.29169973e-03, -3.96660082e-02, -5.40622324e-02,\n",
+       "         2.15043407e-02, -4.61911410e-02, -2.37710383e-02,  6.53768256e-02,\n",
+       "         9.67107620e-03, -3.84159246e-03, -1.90502293e-02,  1.57599207e-02,\n",
+       "         3.54349576e-02,  6.99545890e-02,  4.94214483e-02,  4.20822985e-02],\n",
+       "       dtype=float32)]"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# get second hidden layer (input not included in layer calculation)\n",
     "\n",
@@ -582,7 +748,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 271,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -599,7 +765,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -612,7 +778,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 274,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -631,14 +797,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 275,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\u001b[1m313/313\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 2ms/step\n"
+      "\u001b[1m313/313\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step\n"
      ]
     }
    ],
@@ -648,7 +814,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 276,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -660,16 +826,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 277,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0.8961"
+       "0.8903"
       ]
      },
-     "execution_count": 277,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -682,23 +848,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 278,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[885   3  20   7   1   1  76   0   7   0]\n",
-      " [  1 988   0   8   1   0   1   0   1   0]\n",
-      " [ 22   0 842   8  84   1  40   0   3   0]\n",
-      " [ 37  10  10 876  41   1  20   0   5   0]\n",
-      " [  4   2  75  14 862   0  38   0   5   0]\n",
-      " [  0   0   0   1   0 948   0  28   5  18]\n",
-      " [168   3  77  16  63   1 663   0   9   0]\n",
-      " [  0   0   0   0   0  12   0 972   0  16]\n",
-      " [  7   1   2   2   1   1   6   4 974   2]\n",
-      " [  0   0   0   0   0   8   0  41   0 951]]\n"
+      "[[819   4  12  34   6   5 114   0   6   0]\n",
+      " [  1 993   1   3   0   0   2   0   0   0]\n",
+      " [ 11   2 782   7 146   0  47   0   5   0]\n",
+      " [ 10  35   9 896  32   1  16   0   1   0]\n",
+      " [  2   7  35  21 880   1  52   0   2   0]\n",
+      " [  0   0   0   0   0 962   0  23   5  10]\n",
+      " [105   6  66  37  82   0 698   0   6   0]\n",
+      " [  0   0   0   0   0  14   0 968   1  17]\n",
+      " [  2   1   4   2   3   2   8   2 975   1]\n",
+      " [  1   0   0   0   0  11   0  55   3 930]]\n"
      ]
     }
    ],
@@ -711,12 +877,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 279,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -735,6 +901,20 @@
     "plt.title('Confusion Matrix')\n",
     "plt.show()"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "CONTD."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {