NumPy Was Making My Code 10x Slower (And I Didn't Know)
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NumPy Was Making My Code 10x Slower (And I Didn't Know)
I was writing ReLU with a loop — and it was making my code more than 10x slower than it needed to be. One NumPy function fixes it: np.where. In this video, I break down exactly how it uses broadcasting AND vectorization together to process an entire array in a single pass — no loop required. This is Part 5 of my NumPy series — if you've ...
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