In this section, we're going to add another convolutional layer to our model. Don't worry, we'll walk through the parameters to make sizing line up and we'll learn what dropout training is.
Adding a layer to another layer of CNN
As usual, when starting a new model, make a fresh IPython session and execute the code up to
num_filters1. Great, now you're all set to start learning. Let's jump into our convolutional model.
Why don't we be ambitious and set the first convolutional layer to have
16 filters, far more than the
4 from our old model. But, we'll use a smaller window size this time. Just 3x3. Also note that we changed some variable names such as
num_filters1. This is because we're going to have another convolutional ...