https://github.com/s1998/machine-learning-tensorflow

https://github.com/s1998/machine-learning-tensorflow

Last synced: 9 months ago
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• Host: GitHub
• URL: https://github.com/s1998/machine-learning-tensorflow
• Owner: s1998
• Created: 2017-05-14T09:30:50.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2017-07-06T11:07:10.000Z (over 8 years ago)
• Last Synced: 2025-02-01T18:27:26.282Z (11 months ago)
• Language: Python
• Size: 22.2 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Machine-Learning-Tensorflow

Contains : 

  - Linear Regression

  - Softmax Regression

  - CNN on MNIST dataset

  - RNN on MNIST dataset

  - RNN models(5) for Protein Family Classification 

  - RNN models() for Protein Secondary Structure Prediction

 

We are going to follow these steps for model creation in tensorflow every time :

    1. Data and all parameters given while class construction.

       Model and data computation graph is also made then itself.

       All the nodes in the dc-graph including predicted value, loss, accuracy

       and optimizer will be designed here itself.

    2. Then there is a function that help in prediction

    3. A function that trains and optimizes which will be called

       number of times we want to iterate (i.e. no of epochs).

    4. A function that gets the cross-validation score.