Hello guys. I have a question. How can i know how many hidden layers has a CNN? I want ro build one with 5 hidden layers but i am getting stuck
if u are building a neural net with keras it will look somewhat like this: ```py model = Sequential() model.add(Dense(64, input_dim=X_train.shape[1], activation='relu')) model.add(Dropout(0.5)) model.add(Dense(32, activation='relu')) model.add(Dropout(0.5)) model.add(Dense(16, activation='relu')) model.add(Dense(3, activation='softmax')) ```