/Implementing-ANNs-with-Tensorflow-Course

Coursework for the Tensorflow course at Uni Osnabrück

Primary LanguageJupyter Notebook

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)