Machine Learning Databases and How to Access them with Pytorch - MNIST Tutorial

In this tutorial, we will talk about popular Machine Learning databases and how we can easily access them with Pytorch. 🔥🔥🔥 In particular, we will focus on MNIST, which is a handwritten digits database with 70,000 different images. We will load it with a very simple Pytorch command and we will have a closer look at its content, as well as its feature label structure. We will also discuss data transforms, why we need them and how do we decide which transforms work better for what kind of data. Other computer vision databases we will briefly discuss are CIFAR-10, FashionMNIST and HMDB51. You can find the full list of available databases and transforms at the very bottom of the description ⬇⬇⬇ Have you seen the previous ML tutorial I refer to in this video? New to Google Colab? In my following video, I show you how to set it up for the first time: ************************************** ⏰Time Stamps ⏰ 00:00 - intro 00:23 - load MNIST with Pytorch 0