https://github.com/johnberroa/implementing-anns-with-tensorflow-course

Coursework for the Tensorflow course at Uni Osnabrück
https://github.com/johnberroa/implementing-anns-with-tensorflow-course

tensorflow-course

Last synced: 9 months ago
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Coursework for the Tensorflow course at Uni Osnabrück

• Host: GitHub
• URL: https://github.com/johnberroa/implementing-anns-with-tensorflow-course
• Owner: johnberroa
• Created: 2017-11-17T17:31:55.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2018-02-03T17:59:44.000Z (over 8 years ago)
• Last Synced: 2024-12-28T05:43:02.224Z (over 1 year ago)
• Topics: tensorflow-course
• Language: Jupyter Notebook
• Size: 3.98 MB
• Stars: 1
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Implementing Artificial Neural Networks with Tensorflow

Coursework for the Tensorflow course at Uni Osnabrück.

## File Structure

1. Backpropagation by hand

2. Feedforward Neural Network (MNIST, flattened)

3. Convolutional Neural Network (CIFAR)

4. Advanced CNNs (SVHN; competition)

5. Word Embeddings (Bible)

6. LSTM (imdb)

7. Reinforcement Learning (Cart Pole)

8. GANs (MNIST)