https://github.com/mytechnotalent/hnn
A step-by-step walkthrough of the inner workings of a simple neural network. The goal is to demystify the calculations behind neural networks by breaking them down into understandable components, including forward propagation, backpropagation, gradient calculations, and parameter updates.
https://github.com/mytechnotalent/hnn
ai ai-education ai-training machine-learning neural neural-network neural-networks neural-networks-from-scratch pytorch stem
Last synced: 2 months ago
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A step-by-step walkthrough of the inner workings of a simple neural network. The goal is to demystify the calculations behind neural networks by breaking them down into understandable components, including forward propagation, backpropagation, gradient calculations, and parameter updates.
- Host: GitHub
- URL: https://github.com/mytechnotalent/hnn
- Owner: mytechnotalent
- License: apache-2.0
- Created: 2024-12-14T12:14:18.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2024-12-14T12:25:42.000Z (4 months ago)
- Last Synced: 2025-02-14T03:18:45.418Z (2 months ago)
- Topics: ai, ai-education, ai-training, machine-learning, neural, neural-network, neural-networks, neural-networks-from-scratch, pytorch, stem
- Language: Jupyter Notebook
- Homepage:
- Size: 2.3 MB
- Stars: 8
- Watchers: 1
- Forks: 0
- Open Issues: 0