https://github.com/roqhdehd502/namin-neural-network

This is my first deep learning Work-piece.
https://github.com/roqhdehd502/namin-neural-network

jupyter-notebook python3 tensorflow

Last synced: 28 days ago
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This is my first deep learning Work-piece.

• Host: GitHub
• URL: https://github.com/roqhdehd502/namin-neural-network
• Owner: roqhdehd502
• Created: 2019-02-21T12:39:05.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2020-11-11T12:24:53.000Z (about 4 years ago)
• Last Synced: 2024-11-07T12:11:53.547Z (3 months ago)
• Topics: jupyter-notebook, python3, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 56.6 KB
• Stars: 1
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
This is my first project as Deep Learning.

- Prepare three kinds images

- Load images(100x100x3/Train:1461/Test:490)

- Image Preproccessing

- Set a CNN with NNN(Namin Neural Network)

- Set a Optimizer(Adam)

- Set Epochs and Batch(1000, 1261)

- Save a training files(with Tensorboard)

- Load training files and Activate testing

- Check the results(Accuracy rate, Epoch-Loss Graph)