Skip to content

johnberroa/Implementing-ANNs-with-Tensorflow-Course

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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)

About

Coursework for the Tensorflow course at Uni Osnabrück

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published