Introduction to Deep Learning

This is an exhaustive coverage of some of the core ideas of Neural Networks, a little bit of the math that motivates them, and the main capabilities of PyTorch

One key part of deep learning is taking data from your hard-drive and passing it to the model. To do this we will learn about PyTorch Datasets and Dataloaders!

The key ability of Neural Networks is to be able to train it on one large dataset and then finetune to solve a different problem. We will explore how this works by performing Transfer Learning.