Tensorflow for Deep Learning Research – Stanford Course

EventDateDescriptionCourse MaterialsJan 11
Week 1No classSet up Tensorflow
Suggested Readings:
Nothing in particular, but you're welcome to read anything you want.LectureJan 13Overview of Tensorflow
Why Tensorflow?
Graphs and Sessions [note]
[slides]
To doJan 13Check out TensorBoardLectureJan 18
Week 2Operations
Basic operations, constants, variables
Control dependencies
Feeding inputs
TensorBoard
[note]
[slides]
WorkshopJan 20Linear and Logistic Regression
Tensorflow's Optimizers
Example: OCR task on MNIST dataset [note]
[slides]
A1 releasedJan 20Assignment #1 released[A1 handout]
[code]LectureJan 25
Week 3Structure your TensorFlow model
Example: word2vec Suggested Readings:
A lot. See lecture note
[note]
[slides]
LectureJan 27Managing experiments and process data
Interfaces
Saver object, checkpoints
Example: word2vec [note]
[slides]A1 DueJan 31Assignment #1 dueLectureFeb 1
Week 4Convolutional Neural Networks
Guest lecture by Justin Johnson (Stanford Vision Lab)
Example: Neural style translation [slides]LectureFeb 3Convolutional Neural Networks (continued)
Example: Autoencoder [note]
[slides]
A2 releasedFeb 8Assignment #2 released[A2 Handout]
[code]LectureFeb 8
Week 5Convolutional Neural Networks
Guest lecture by Jon Shlens (Google Brain)LectureFeb 10Input Pipeline
Discussion of Assignment #2
Style Transfer
[note]
[slides]
Feb 15
Week 6No class TensorFlow Dev Summit
Sign up for campus viewing
LectureFeb 17Midterm discussion No slidesA2 DueFeb 20Assignment #2 dueLectureFeb 22
Week 7Introduction to RNN, LSTM, GRU
Example: Character-level Language Modeling [slides]LectureFeb 24Convolutional-GRU
Guest lecture by Lukasz Kaiser (Google Brain) [slides]
LectureMar 1
Week 8Seq2seq with Attention
Example: Chatbot [slides]A3 releasedMar 2Assignment #3 released[A3 Handout]
[code]
[Anonymous Chatlog Donation]
Mar 3No class
Pete Warden: TensorFlow for Mobile DevelopersLectureMar 8
Week 9Seq2seq with Attention (continued)
Chatbot: Training and Optimizing LectureMar 10 Reinforcement Learning in Tensorflow
Guest lecture by Danijar Hafner
(co-author of TensorFlow for Machine Intelligence)A3 DueMar 17Assignment #3 due