What you'll learn - To use Keras and Tensor Processing Units (TPUs) to build your custom models faster. - To use the tf.data.Dataset API and the TFRecord format to load training data efficiently. - To use transfer learning instead of building your own models. - To use Keras sequential and functional model styles. - To build your own Keras classifier with a softmax layer and cross-entropy loss. - To fine-tune your model with a good choice of convolutional layers. - To explore modern convnet architecture ideas like modules, global average pooling, etc. - To build a simple modern convnet using the Squeezenet architecture.
