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https://github.com/djbyrne/neural-network-from-scratch-tumour-diagnosis
This notebook goes through how to build a neural network using only numpy. The network classifies tumours, identifying if they are malignant or benign. This notebook uses the Breast Cancer Wisconsin dataset.
https://github.com/djbyrne/neural-network-from-scratch-tumour-diagnosis
artificial-intelligence cloud-computing deep-learning-tutorial machine-learning neural-network neural-networks-from-scratch numpy python tutorial
Last synced: 12 days ago
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This notebook goes through how to build a neural network using only numpy. The network classifies tumours, identifying if they are malignant or benign. This notebook uses the Breast Cancer Wisconsin dataset.
- Host: GitHub
- URL: https://github.com/djbyrne/neural-network-from-scratch-tumour-diagnosis
- Owner: djbyrne
- Created: 2018-07-09T16:49:22.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2018-07-15T22:39:34.000Z (over 6 years ago)
- Last Synced: 2023-08-01T12:16:59.577Z (over 1 year ago)
- Topics: artificial-intelligence, cloud-computing, deep-learning-tutorial, machine-learning, neural-network, neural-networks-from-scratch, numpy, python, tutorial
- Language: Jupyter Notebook
- Homepage:
- Size: 7.62 MB
- Stars: 2
- Watchers: 2
- Forks: 1
- Open Issues: 0