https://github.com/abdelrhman95/cnn-in-tensorflow-

https://github.com/abdelrhman95/cnn-in-tensorflow-

Last synced: about 1 month ago
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• Host: GitHub
• URL: https://github.com/abdelrhman95/cnn-in-tensorflow-
• Owner: abdelrhman95
• Created: 2021-11-14T20:17:46.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2021-11-14T20:31:00.000Z (about 3 years ago)
• Last Synced: 2023-07-30T06:23:55.921Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 91.8 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# CNN-in-tensorflow- 

through these notebooks you will how to implement :

1- Image Agumentation to avoid overfitting 

2- transfer learning (use a pretrained model instead of creating architecture from scratch)

3- Drop-Out (drop some layers to avoid overfitting)

these are a part of tensorflow speacialization https://www.coursera.org/learn/convolutional-neural-networks-tensorflow?specialization=tensorflow-in-practice#about