Skip to content

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

Notifications You must be signed in to change notification settings

nikhase/tf-stanford-tutorials

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

95 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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

Models include:

In the folder "examples":

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

In the folder "assignments":

Style Transfer
Chatbot using sequence to sequence with attention

Misc

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)

About

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

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%