Lesson 1: Practical Deep Learning for Coders 2022

Go to for code, notebooks, quizzes, etc. This course is designed for people with some coding experience who want to learn how to apply deep learning and machine learning to practical problems. There are 9 lessons, and each lesson is around 90 minutes long. We cover topics such as how to: - Build and train deep learning, random forest, and regression models - Deploy models - Apply deep learning to computer vision, natural language processing, tabular analysis, and collaborative filtering problems - Use PyTorch, the world’s fastest growing deep learning software, together with popular libraries such as fastai, Hugging Face Transformers, and gradio You don’t need any special hardware or software — we’ll show you how to use free resources for both building and deploying models. You don’t need any university math either — we’ll teach you the calculus and linear algebra you need during the course. 00:00 - Introduction 00:25 - What has changed since 2015