https://github.com/swamikannan/neural-network-from-scratch-numpy

Creating a basic NN from scratch to detect numbers from the MNIST dataset using Numpy
https://github.com/swamikannan/neural-network-from-scratch-numpy

ann backpropagation-neural-network backpropogation deep-learning matplotlib-pyplot mnist-classification neural-networks-from-scratch numpy

Last synced: 4 days ago
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Creating a basic NN from scratch to detect numbers from the MNIST dataset using Numpy

• Host: GitHub
• URL: https://github.com/swamikannan/neural-network-from-scratch-numpy
• Owner: SwamiKannan
• License: mit
• Created: 2022-08-27T09:13:58.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2022-10-25T14:39:59.000Z (about 2 years ago)
• Last Synced: 2023-05-20T11:25:55.198Z (over 1 year ago)
• Topics: ann, backpropagation-neural-network, backpropogation, deep-learning, matplotlib-pyplot, mnist-classification, neural-networks-from-scratch, numpy
• Language: Jupyter Notebook
• Homepage:
• Size: 940 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0

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