Andrej Karpathy's Neural Networks: Zero to Hero is a free video series teaching neural networks from first principles. You implement neural networks from scratch in Python, no frameworks, so you understand exactly how they work. The course is advanced but exceptionally clear. After finishing, you understand backpropagation, gradient descent, and how to build neural networks. Karpathy is Tesla's former AI director and one of the best ML educators. The main limitation: this is math-heavy and requires linear algebra and calculus comfort.
Andrej Karpathy is a legendary AI researcher and educator, and his Zero to Hero series has become one of the gold standards for learning deep learning (source: community feedback).
About This Course
Andrej Karpathy's free video series building neural networks from scratch — from backpropagation all the way to GPT. Widely considered the single best free deep-learning course available. Taught by an OpenAI founding member and ex-Tesla AI director.
Course Details
Frequently Asked Questions
Is Karpathy's course free?
Yes, all videos are free on YouTube.
Is this for beginners?
No. You need Python, linear algebra, and some calculus. Start with Kaggle or Ng first.
Why learn from scratch instead of using frameworks?
Understanding fundamentals prevents bugs and helps you make better decisions in production.
How long is the course?
About 30-40 hours of dense, challenging content.
After this, should I use frameworks?
Yes, PyTorch or TensorFlow. Now you'll understand what they're doing under the hood.
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