/DL

Deep learning repo (Archive)

Deep Learning Archive

This repo archives useful info for deep learning.

Text books:

1. Deep learning with R

The manning provides tutorials related to the textbook.
Video: https://www.manning.com/livevideo/deep-learning-with-r-in-motion
Rmd repo: https://github.com/jjallaire/deep-learning-with-r-notebooks

2. Dive into Deep Learning

The textbook became publicly released on January 2019. The PDF is available from the below link. https://d2l.ai/

UC Business Analytics

This bookdown webpage covers basic deep learning modeling techniques.
http://uc-r.github.io/predictive

画像認識

Online Resources

1. MIT 6.S191 Intro to DL:

Course page is here. The slides and videos are available.

Class Topic Link Date
1-1 Intro to DL Part1 By March, 2019
1-2 Deep sequence modeling Part2 By March, 2019
2-1 Deep Computer vision Part1 By April, 15th
2-2 Deep Generating Model Part2 By July, 1st

2. Stanford CS230 Deep Learning

The lecture was publicly released on April 2019. The lecture video is here.

3. Fastai

https://course.fast.ai/index.html

4. Spring 2019 Full Stack Deep Learning Bootcamp

Video: https://fullstackdeeplearning.com/march2019

5. Deep Generative Models

Stanford university materials: https://deepgenerativemodels.github.io/