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https://github.com/amir-tav/primitive-nn
How to build a simple neural network from scratch using Numpy and linear algebra without relying on high-level libraries like TensorFlow or Keras.
https://github.com/amir-tav/primitive-nn
backpropagation gradientdescent linear-algebra machine-learning mnist-dataset neural-network
Last synced: about 1 month ago
JSON representation
How to build a simple neural network from scratch using Numpy and linear algebra without relying on high-level libraries like TensorFlow or Keras.
- Host: GitHub
- URL: https://github.com/amir-tav/primitive-nn
- Owner: Amir-Tav
- License: mit
- Created: 2024-11-24T14:44:49.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2024-11-24T18:03:23.000Z (about 1 month ago)
- Last Synced: 2024-11-24T19:18:03.323Z (about 1 month ago)
- Topics: backpropagation, gradientdescent, linear-algebra, machine-learning, mnist-dataset, neural-network
- Language: Jupyter Notebook
- Homepage:
- Size: 8.71 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0