john-adeojo · January 22, 2021 00:42
diff --git a/Deep and Wide NN Build b/Deep and Wide NN Build
 # Build a neural network with deep and wide architecture

 input_ = keras.layers.Input(shape=(784))  # Input layer 
 hidden1 = keras.layers.Dense(300, activation="relu")(input_)  # Create first hidden layer and feed input layer to it
 hidden2 = keras.layers.Dense(100, activation="relu")(hidden1)  # Create 2nd hidden layer and feed output of first hidden layer 
 concat = keras.layers.Concatenate()([input_, hidden2])  # Concatenate output from 2nd hidden layer and input layer
 output = keras.layers.Dense(10, activation="softmax")(concat)  # Feed concatenation of first and second input layer to output layer creating wide and deep network
 model2 = keras.Model(inputs=[input_], outputs=[output])
	# Build a neural network with deep and wide architecture

	input_ = keras.layers.Input(shape=(784)) # Input layer
	hidden1 = keras.layers.Dense(300, activation="relu")(input_) # Create first hidden layer and feed input layer to it
	hidden2 = keras.layers.Dense(100, activation="relu")(hidden1) # Create 2nd hidden layer and feed output of first hidden layer
	concat = keras.layers.Concatenate()([input_, hidden2]) # Concatenate output from 2nd hidden layer and input layer
	output = keras.layers.Dense(10, activation="softmax")(concat) # Feed concatenation of first and second input layer to output layer creating wide and deep network
	model2 = keras.Model(inputs=[input_], outputs=[output])