Series

Papers by Hand

Reading the classic ML research papers that built modern AI. Each paper has 3 days: read and understand, implement from scratch, visualize and publish to Gitlab

I implemented backpropagation in 58 lines of NumPy. No libraries.
Day 2: the 1986 paper turned into actual code, line by line
Apr 2, 20264 min read7
The loss curve never lies. Here is what backpropagation looks like when it learns.
Day 3: visualizing the 1986 paper and pushing to GitHub Day 2 I wrote the code. Today I ran it, plotted everything, and pushed to Gitlab Two charts. One big insight. One honest reflection. If you miss
Apr 3, 20263 min read2

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