The Deep Learning with PyTorch Workshop

1. Introduction to Deep Learning and PyTorch

Overview

This chapter introduces the two main topics of this book: deep learning and PyTorch. Here, you will be able to explore some of the most popular applications of deep learning, understand what PyTorch is, and use PyTorch to build a single-layer network, which will be the starting point for you to apply your learning to real-life data problems. By the end of this chapter, you will be able to use PyTorch's syntax to build neural networks, which will be essential in subsequent chapters.

Introduction

Deep learning is a subset of machine learning that focuses on using neural networks to solve complex data problems. It is becoming increasingly popular nowadays, thanks to advances in software ...