https://github.com/andreashovaldt/simple-neural-network
A simple neural network, created with numpy, based on Stochastic Gradient Descent, used for classifying the MNIST dataset
https://github.com/andreashovaldt/simple-neural-network
mnist-classification neural-network numpy stochastic-gradient-descent
Last synced: about 2 months ago
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A simple neural network, created with numpy, based on Stochastic Gradient Descent, used for classifying the MNIST dataset
- Host: GitHub
- URL: https://github.com/andreashovaldt/simple-neural-network
- Owner: andreasHovaldt
- License: mit
- Created: 2023-09-22T12:43:03.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-02-28T19:38:22.000Z (almost 2 years ago)
- Last Synced: 2024-02-28T20:40:14.243Z (almost 2 years ago)
- Topics: mnist-classification, neural-network, numpy, stochastic-gradient-descent
- Language: Python
- Homepage:
- Size: 10.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# simple-neural-network
My first stab at a simple neural network created solely in numpy. The network is based on Stochastic Gradient Descent, and is trained on- and used for classifying the MNIST digit dataset.
# Knowledge and inspiration
- https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
- http://neuralnetworksanddeeplearning.com/chap1.html
- http://neuralnetworksanddeeplearning.com/chap2.html