d220: Extensive TensorFlow tutorial with Kaggle competition, FFN, CNN, RNN, AE


TensorFlow tutorial – learn TensorFlow from scratch by examples and visualizations with interactive jupyter notebooks.


  • Logistic regression, feed forward neural network (FFN) on the (in)famous MNIST.
  • Convolutional Neural Network (CNN) and Spatial Transformer on images.
  • Recurrent Neural Network (RNN) on Translation using Encoder-Decoder model and Encoder-Decoder with attention.
  • Unsupervised learning with autoencoder (AE) reconstructing the MNIST from only two latent variables.