WideAndDeepNN.md (567B)
1 # Wide and Deep Neural Network 2 3 ML D6 4 5 **Definition:** Wide and deep neural networks are a model architecture where some or all inputs are connected directly to outputs while also having a path through the neural network through hidden layers. 6 7 By using a wide and deep neural network we don't worry about muddying simple relationships through the long path of a neural network as some values will be automatically factored into the outputs. 8 9 When doing this you use a concatenation layer prior to the output layer to combine both the long and short paths together.