Practical Deep Learning for Coders
Welcome to Practical Deep Learning for Coders. This web site covers the book and the 2020 version of the course, which are designed to work closely together. If you haven't yet got the book, you can buy it here. It's also freely available as interactive Jupyter Notebooks; read on to learn how to access them..
If you're ready to dive in right now, here's how to get started. If you want to know more about this course, read the next sections, and then come back here.
To watch the videos, click on the Lessons section in the navigation sidebar. The lessons all have searchable transcripts; click "Transcript Search" in the top right panel to search for a word or phrase, and then click it to jump straight to video at the time that appears in the transcript. The videos are all captioned and also translated into Chinese (简体中文) and Spanish; while watching the video click the "CC" button to turn them on and off, and the setting button to change the language.
Each video covers a chapter from the book. The entirety of every chapter of the book is available as an interactive Jupyter Notebook. Jupyter Notebook is the most popular tool for doing data science in Python, for good reason. It is powerful, flexible, and easy to use. We think you will love it! Since the most important thing for learning deep learning is writing code and experimenting, it's important that you have a great platform for experimenting with code.
