This model uses an architecture that is nearly identical to that of the previous release, except we now use more pooling layers and adjusted the numbers of filters and nodes to make it more memory efficient.
The entire model code is at the bottom of the notebook here. It accomplished a validation accuracy of about 83% (better than the previous CNN model).