Image Classification -- A Practical Guide -- Part 2

In the first part of this series, we explored how to use pre-trained models to classify images. In this second part, we will build our own classifiers from scratch, in order to understand some of the underlying techniques used to constructing image classification models. When we are working on an image classification problem, it is important that we understand the problem and the data. So, before jumping in and building our model, let's first try to understand what we are trying to build and why. We will be using this animal dataset from Kaggle.