modernLenetWithRegularizers

This example shows how to do image classification from scratch using modernLeNet, without leveraging pre-trained weights or a pre-made model. We demonstrate the workflow on the Mnist classification dataset.

It includes:

• dataset loading from S3

• model compilation

• model summary (including TensorFlow graph operands)

• model training

• model evaluation