The spelled-out intro to neural networks and backpropagation: building micrograd
Andrej Karpathy · 17 HN recommendations
Video Q&A
Ask AI to explain this scene or summarize the whole video. When an answer includes timestamps, select one to jump to that moment.
Try asking: What is the speaker explaining here?
Google sign-in is required. Review the maximum credit cost before confirming.
Andrej Karpathy's first Neural Networks: Zero to Hero lecture, which builds micrograd, a tiny autograd engine, from scratch in Python. It explains backpropagation and neural network training step by step, assuming only basic Python and some high-school calculus.
Why HN recommends it: HN treats it as the best starting point for really understanding backprop and neural nets, because Karpathy explains the why with intuition and builds everything in code.
“It's especially useful because he explains the why and provides intuitive explanations instead of just talking about the what and how.” Read on HN ↗