We will use three hidden layers and 200 neurons for all three. The following code snippet
shows the architecture we will use in this example:
n_inputs = X_train.shape[1] #25
n_hidden1 = 200
n_hidden2 = 200
n_hidden3 = 200
n_outputs = 2
We will use three hidden layers and 200 neurons for all three. The following code snippet
shows the architecture we will use in this example:
n_inputs = X_train.shape[1] #25
n_hidden1 = 200
n_hidden2 = 200
n_hidden3 = 200
n_outputs = 2