Perceptrons.md (792B)
1 # Perceptrons 2 3 ML D5 4 5 **Definition:** Perceptrons are an artificial neural network architecture based on threshold logic untis (TLUs) or linear threshold units (LTUs). 6 7 The inputs and outputs of these neurons are numbers and each input is associated with a weight. 8 9 The neuron accepts inputs and computes a linear function on them. It then uses a step function to get the output. 10 11 Perceptrons are a single layer neural network where the inputs are taken in and they are connected to each neuron. These neurons are then the output layer. 12 13 If there are multiple layers of perceptrons these are then called MLPs (multilayer perceptrons). 14 15 MLPs are a type of deep neural networks, but deep neural networks also include things like recurrent neural networks whereas MLPs are only feed forward.