Gradient descent, how neural networks learn | DL2 Share: Download MP3 Similar Tracks Backpropagation, intuitively | DL3 3Blue1Brown PyTorch for Deep Learning & Machine Learning – Full Course freeCodeCamp.org Let's build GPT: from scratch, in code, spelled out. Andrej Karpathy But what is a neural network? | Deep learning chapter 1 3Blue1Brown Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018) Stanford Online But what is quantum computing? (Grover's Algorithm) 3Blue1Brown The Man Who Almost Broke Math (And Himself...) Veritasium MIT Introduction to Deep Learning | 6.S191 Alexander Amini Transformers (how LLMs work) explained visually | DL5 3Blue1Brown MIT 6.S191: Convolutional Neural Networks Alexander Amini Gradient Descent, Step-by-Step StatQuest with Josh Starmer Stanford Computer Scientist Answers Coding Questions From Twitter | Tech Support | WIRED WIRED How to Create a Neural Network (and Train it to Identify Doodles) Sebastian Lague What is the Schrödinger Equation? A basic introduction to Quantum Mechanics Physics Explained Machine Learning for Everybody – Full Course freeCodeCamp.org Monte Carlo Simulation MarbleScience How Deep Neural Networks Work - Full Course for Beginners freeCodeCamp.org Harvard CS50’s Artificial Intelligence with Python – Full University Course freeCodeCamp.org The Most Important Algorithm in Machine Learning Artem Kirsanov The spelled-out intro to neural networks and backpropagation: building micrograd Andrej Karpathy
