Whether we like it or not, is eating the world. Several weeks ago, I decided to learn how it works. It’s the Wild West out here. Everyone recommends different resources and makes different assumptions about how much time you have. deep learning I looked at a bunch and removed some guesswork on both fronts: These resources are simply the best, better than all the rest, and maybe more importantly, they give you reliable options whether you want your journey to be 60 minutes or 6 years. I’ve included some details on prerequisites at the end. Regardless of background, everyone should check out the first link. 3Blue1Brown is a legend. 1. Hour , 3Blue1Brown Neural networks playlist , Soumith Chintala (PyTorch documentation) Deep Learning with PyTorch: A 60 Minute Blitz 2. Day , Daniel Bourke Learn PyTorch for deep learning in a day , Phosphorus (Less Wrong blog) I tried to learn as much deep learning math as I could in 24 hours 3. Season Books , Ian Goodfellow, Yoshua Bengio, and Aaron Courville Deep Learning , François Chollet Deep Learning with Python , Michael Nielsen Neural Networks and Deep Learning , Sebastian Raschka Machine Learning with PyTorch and Scikit-Learn Courses , Jeremy Howard course.fast.ai , Andrew Ng & others deeplearning.ai , University of Helsinki Elements of AI , Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola Dive Into Deep Learning , Andrej Karpathy Neural Networks: Zero to Hero , Siraj Raval Learn Machine Learning in 3 Months 4. Decade Go to grad school Roadmaps , Daniel Bourke Machine Learning Roadmap , Let the Data Confess Complete Roadmap to be a Deep Learning Engineer Resource lists , ChristosChristofidis Awesome Deep Learning , SkalskiP Crème de la crème of AI courses , brylevkirill Deep Learning.md Miscellaneous , Meta AI Research Papers With Code (Youtube Channel), Károly Zsolnai-Fehér Two Minute Papers (Youtube Channel), Harrison Kinsley Sentdex A Note on Prerequisites It’s a free country. Learn what you want along the way. All the resources above are fairly clear about what’s needed. That said, if you want to embark on a serious course of study, here are a few central building blocks they all share that you’ll need to be comfortable with. Manipulating vectors and matrices Finding derivatives Gradient descent Basic Python programming It’ll also help to know: How to learn How to , for broad explanations. prompt tools like ChatGPT effectively How besides deep learning work, if you want to become a domain expert one day. other kinds of advanced machine learning Happy learning 💡

Complexity NIMBYs and the Illusion of Transcending Software Complexity Bounds

An Artificial Discussion Regarding Artificial Intelligence

Nominated for 2022 - HackerNoon Contributor of the Year - Product Development

Nominated for 2022 - HackerNoon Contributor of the Year - Product Management

Nominated for 2022 - HackerNoon Contributor of the Year - Management

Nominated for 2022 - HackerNoon Contributor of the Year - Design

Too Long; Didn't Read

Make resilience your competitive advantage

Deep Learning in an Hour, Day, Season, or Decade

About Author

Comments

TOPICS

THIS ARTICLE WAS FEATURED IN

Related Stories

Untitled Story

An Artificial Discussion Regarding Artificial Intelligence

The Noonification: How Often Do NFTs Pass The Howey Test? (1/13/2023)

Darwin's Hybrid Intelligence to Align AI & Human Goals for Startups & VCs

The Noonification: White Man (11/26/2022)

The Noonification: The Metaverse is a Sh*tshow (11/2/2022)

An Artificial Discussion Regarding Artificial Intelligence

The Noonification: How Often Do NFTs Pass The Howey Test? (1/13/2023)

Darwin's Hybrid Intelligence to Align AI & Human Goals for Startups & VCs

The Noonification: White Man (11/26/2022)

The Noonification: The Metaverse is a Sh*tshow (11/2/2022)

Light-Mode

Classic

Newspaper

Dark-Mode

Neon Noir

Minty

HN StartUps