# tf-stanford-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

It will be updated as the class progresses.

Detailed syllabus and lecture notes can be found here http://cs20si.stanford.edu

Linear Regression with Chicago's Fire-Theft dataset

Logistic Regression with MNIST

Word2vec skip-gram model with NCE loss

Convnets with MNIST

Autoencoder (by Nishith Khandwala)

Deepdream (by Jon Shlens)

Character-level language modeling

Style Transfer

Chatbot using sequence to sequence with attention

Examples on how to use data readers, TFRecord

Embedding visualization with TensorBoard

Usage of summary ops

Exercises to be familiar with other special TensorFlow ops

Demonstration of the danger of lazy loading

Convolutional GRU (CRGU) (by Lukasz Kaiser)