A Gentle Introduction to PyTorch 1.2

In our previous PyTorch notebook, we learned about how to get started quickly with PyTorch 1.2 using Google Colab. In this tutorial, we are going to take a step back and review some of the basic components of building a neural network model using PyTorch. As an example, we will build an image classifier using a few stacked layers and then evaluate the model. This will be a brief tutorial and will avoid using jargon and over-complicated code. That said, this is perhaps the most basic of neural network models you can build with PyTorch.