https://github.com/chaitanyac22/neural-network-using-numpy
Introduction to Neural Networks (Create a neural network using Numpy)
https://github.com/chaitanyac22/neural-network-using-numpy
accuracy activation-functions backpropagation-learning-algorithm feed-forward loss mnist-classification model neural-networks neural-networks-from-scratch numpy prediction python3
Last synced: about 1 month ago
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Introduction to Neural Networks (Create a neural network using Numpy)
- Host: GitHub
- URL: https://github.com/chaitanyac22/neural-network-using-numpy
- Owner: ChaitanyaC22
- License: mit
- Created: 2021-03-11T18:45:08.000Z (about 4 years ago)
- Default Branch: chai_main
- Last Pushed: 2021-07-09T18:28:42.000Z (almost 4 years ago)
- Last Synced: 2025-02-01T12:13:21.379Z (3 months ago)
- Topics: accuracy, activation-functions, backpropagation-learning-algorithm, feed-forward, loss, mnist-classification, model, neural-networks, neural-networks-from-scratch, numpy, prediction, python3
- Language: Jupyter Notebook
- Homepage:
- Size: 15.8 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0