Machine Learning Crash Course
Google Developers
A fast-paced, practical introduction to machine learning featuring a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.
Neural Networks: Zero to Hero
Andrej Karpathy
A course by Andrej Karpathy on building neural networks, from scratch, in code. We start with the basics of backpropagation and build up to modern deep neural networks.
MIT 6.S191: Introduction to Deep Learning
Alexander Amini
MIT's official introductory course on deep learning methods with applications to computer vision, natural language processing, biology, and more.
Practical Deep Learning for Coders
Jeremy Howard
Fast.ai's renowned course designed to get you building state-of-the-art models without requiring graduate-level math upfront. Top-down approach.
StatQuest with Josh Starmer
StatQuest
Machine Learning, Statistics, and Data Science concepts explained clearly, with simple animations and a focus on intuition over confusing jargon.
CS231n: CNNs for Visual Recognition
Stanford University
Stanford's famous course on Computer Vision. Excellent lectures covering CNNs, image classification, object detection, and generative models.