A place to gather deep learning resources
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README.md

README.md

Deep Learning Resources

Trying to organise the vast majority of Deep Learning resources that I encounter.

If you want to contribute, feel free to make a pull request.

Table of Contents

  1. Online Courses
  2. Free Online Books
  3. Online Videos
  4. Papers
  5. Frameworks
  6. Heros
  7. Datasets & models
  8. Conferences
  9. Communities
  10. Blogs
  11. Jupyter notebooks
  12. Build your own DL Machine
  13. Infrastructure
  14. Resources from courses
  15. Miscellaneous

Online Courses

  1. Machine Learning- Coursera Andrew Ng - Stanford
  2. Deep Learning Specialization - Coursera Andrew Ng - DeepLearning.ai
  3. Advanced Machine Learning Specialization - Coursera Higher School of economics - National Research University
  4. Fast.ai Fast.ai
  1. Deep Learning Udacity
  2. MIT 6.S094: Deep Learning for Self-Driving Cars - MIT
  3. 6.S191: Introduction to Deep Learning - MIT
  4. CS231n: Convolutional Neural Networks for Visual Recognition Fei-Fei Li - Stanford

Free Online Books

  1. Deep Learning Book - Ian Goodfellow and Yoshua Bengio and Aaron Courville (11/2016)
  2. Neural Networks and Deep Learning - Michael Nielsen (12/2017)

Videos

Frameworks

  1. Tensorflow
  2. Keras
  3. Caffe
  4. Caffe2
  5. CNTK
  6. Theano
  7. PyTorch
  8. Apache MXNet
  9. Chainer
  10. Deeplearning4j
  11. Deeplearn.js
  12. Fast.ai
  13. Lore

Heros

TODO

Datasets and Models

  1. ModelDepot TODO

Papers

TODO

Conferences

  1. NIPS
  2. ICML
  3. CVPS
  4. ECCV

Communities

  1. Artificial Intelligence & Deep Learning

Blogs

  1. Zero to Singularity - Adventures in Deep Learning

Jupyter Notebooks

  1. Deep Learning with Python Notebooks - François Chollet

Build Your own DL Machine

  1. Build a Deep Learning Rig for $800
  2. Building your own deep learning box
  3. The $1700 great Deep Learning box: Assembly, setup and benchmarks
  4. Build your 1st Deep Learning Rig
  5. Which GPU(s) to Get for Deep Learning: My Experience and Advice for Using GPUs in Deep Learning (Tim Dettmers)
  6. GPU Benchmark
  7. Choosing Components for Personal Deep Learning Machine

Infrastructure

  1. Paperspace
  2. Crestle
  3. Microsoft Azure
  4. AWS Amazon
  5. Google Compute Engine

Resources from courses:

  1. Fast.ai

Miscellaneous

  1. ec2-spotter