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You do not need any matrix calculus for deep learning and micrograd (https://github.com/karpathy/micrograd https://github.com/karpathy/micrograd), which impleme
by karpathy 6y ago
You do not need any matrix calculus for deep learning and micrograd (https://github.com/karpathy/micrograd https://github.com/karpathy/micrograd), which implements backpropagation for neural nets in 100 lines of code, is a proof. Everything else is just vectorization.
- amelius 6y agoYes, you'll probably need more information-theory and statistics than linear algebra. The focus seems to be in the wrong place.