文章目录

• • @[toc]
• Deep Learning
• • Notes
  • Books
  • Overview
  • Softwares
  • • Lists
    • Comparison
    • Online Resources
  • Tricks
  • Coding
  • Collections
  • Support or Contact

Resources of Deep Learning @ iridescent.ink

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Deep Learning

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Notes

• Deep Learning Basis
• Neural Network Compression
• Neural Network Accelerators
• Generative Adversarial Networks
• Deep Learning Applications

Books

• Introduction to Artificial Neural Networks and Deep Learning
  • [book en html]：Introduction to Artificial Neural Networks and Deep Learning
  • [code python]：GitHub
• Deep Learning
  • [book en html]：Deep Learning An MIT Press book
  • [book zh src]：deeplearningbook-chinese
• Deep Learning With Python
  • [online introduction en]：deep learning with python
  • [code python]：GitHub,Jupyter notebooks for the code samples of the book “Deep Learning with Python”
  • [blog zh html]：archives

Overview

• 2014 Deep learning in neural networks: an overview
• 2017 An Overview of Multi-Task Learning in Deep Neural Networks
• 2018 Deep Reinforcement Learning: An Overview
• 2018 Recent Advances in Deep Learning: An Overview

Softwares

Lists

• deep Learning software links

Comparison

• comparison of deep learning software(wiki)
• Evaluation of Deep Learning Toolkits: Caffe, CNTK, TensorFlow, Theano, and Torch.

Online Resources

• tensorflow playground:Tinker With a Neural Network Right Here in Your Browser. Don’t Worry, You Can’t Break It. We Promise.
• netscope: net visualization.

Tricks

• Must Know Tips/Tricks in Deep Neural Networks (by Xiu-Shen Wei)
• My Neural Network isn’t working! What should I do?

Coding

• TensorFlow Basic Tutorial Labs
• DeepLearningTutorials: Deep Learning Tutorial notes and code. See the wiki for more info
• deep-learning-coursera: Deep Learning Specialization by Andrew Ng on Coursera.
• MachineLearning: Basic Machine Learning and Deep Learning
• DeepLearningImplementations: Implementation of recent Deep Learning papers
• DeepLearningProject: An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
• Github DL Implementations: lists of DL implementations on github.

Collections

1. Awesome Deep Learning: A curated list of awesome Deep Learning tutorials, projects and communities.
2. Machine-Learning-Tutorials: machine learning and deep learning tutorials, articles and other resources
3. Most Cited Deep Learning Papers
4. Deep Learning Papers Reading Roadmap
5. Machine Learning Surveys: A curated list of Machine Learning related Surveys, Overviews and Books.
6. Awesome Deep Vision: A curated list of deep learning resources for computer vision, inspired by awesome-php and awesome-computer-vision.
7. 机器学习和深度学习资源汇总（陆续更新）
8. 【机器学习】超过200种最佳机器学习—NLP和Python教程（2018版）

Support or Contact

Email: zhiliu.mind@gmail.com