TensorFlow Basics - Categorical Classification

This is part of a series of videos I'll be doing as part of a TensorFlow Tutorial for Beginners.

In this video, we're looking at Categorical Classification using the CategoricalCrossentropy loss function.

For this type of problem, we are trying to classify our input into multiple separate classes - e.g. "cat", "dog", "cow", "sheep"

We'll build a simple Python generator that creates an infinite sequence of example images and build our TensorFlow Dataset using the from_generator function.

The code for this notebook is in GitHub here: https://github.com/atomic14/tensorflow-tutorial

This video follows on from the Binary Classification With Tensorflow video (https://youtu.be/olkRurD-_t4) and extends it to multiple classes. ... https://www.youtube.com/watch?v=LPPTi38Zfqc