https://github.com/henrhie/deep-learning-from-scratch

This is a python code of deep learning algorithms implemented from scratch with numpy
https://github.com/henrhie/deep-learning-from-scratch

Last synced: 3 months ago
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This is a python code of deep learning algorithms implemented from scratch with numpy

• Host: GitHub
• URL: https://github.com/henrhie/deep-learning-from-scratch
• Owner: henrhie
• License: apache-2.0
• Created: 2018-08-25T11:54:00.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2024-11-20T21:11:27.000Z (7 months ago)
• Last Synced: 2025-01-10T00:14:43.769Z (5 months ago)
• Language: Python
• Size: 56.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Deep learning from scratch

code is in python

dataset included(b_cancer.csv)

This deep learning code is written by combining knowledge from the coursera deep learning

specialization. It is coded primarily for the provided dataset. 

The dataset contains features and labels for classification(whether a specific breast cancer is benign or malign)

You can go ahead and change

the code in other to use other datasets.

Contains some deep learning algorithms such as gradient descent with momentum, rmsprop and adam

The code allows you to also use dropout and l2 regularization