PyTorch 1.2 Quickstart with Google Colab

Following the success of previous deep learning tutorials like "Building RNNs is Fun with PyTorch and Google Colab" and "A Simple Neural Network from Scratch with PyTorch and Google Colab", I am excited to introduce a new series of tutorials on all things PyTorch and deep learning. In this first code tutorial, we will learn how to quickly train a deep learning model to understand some of PyTorch's basic building blocks. This notebook is inspired by the "Tensorflow 2.0 Quickstart for experts" notebook. After completion of this tutorial, you should be able to import data, transform it, and efficiently feed the data in batches to a convolution neural network (CNN) model for image classification. A new feature in these new tutorials is the introduction of exercises.