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vishgoki/backprop-from-scratch-using-numpy

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Implemented back-propagation from scratch in Python, focusing on basic operations (addition, multiplication, power, ReLU) and manual gradient computation for the MNIST dataset. This project, utilizing only math and numpy, aimed to deepen my understanding of neural networks' core algorithms without relying on frameworks like PyTorch or TensorFlow.

active 2024-03-152024-03-15 (UTC)

Complete coverage26,645 / 26,645 hourly files (100%) · 2 absent upstream2023-08-152026-08-29 (UTC)
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5
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1
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0
Issues
0
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0
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0

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Line chart, 1 days from 2024-03-15 to 2024-03-15. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

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vishgoki1100

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