lenetWithAlternativeLossFunction

This example shows how to do image classification from scratch using lenet5Classic, 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

• dataset splitting on train, test and validation subsets

• model compilation with alternative Losses

• model summary

• model training with validation

• model evaluation