Ultimate-Guide-To-Deep-Learning

this a roadmap for Deep learning studying contains the MOST useful Courses, Books, Papers, Tools, and Websites that Helped others to contribute in this Vital field

First of all this REPO contains Arabic and English notes to help both side

هذه خارطة الطريق لتعلم العميق تتضمن أهم الدورات, والكتب, والأبحاث العلمية, وأهم الأدوات والمواقع التي ساعدت الكثير في الدخول لهذا المجال الممتع

وقد كتبت الملاحظات باللغتين العربية والإنجليزية مع التشديد على أهمية اللغة الإنجليزية للطلاب العرب

سألين المولى أن يوفقكم ولا تنسونا من دعائكم

Courses

courses from @dair-ai on this Repo which contains all youtube FREE courses and the contributors wrote their notes on it

الكورست ستجدونها مجانية هنا وقد كتبوا ما يحتويه كل كورس والاستفاده منه

Books

1. Probabilistic Machine Learning: An Introduction by Kevin Patrick Murphy
2. Neural Networks and Deep Learning by Michael Nielsen (Dec 2014)
3. Deep Learning by Microsoft Research (2013)
4. Deep Learning Tutorial by LISA lab, University of Montreal (Jan 6 2015)
5. neuraltalk by Andrej Karpathy : numpy-based RNN/LSTM implementation
6. An introduction to genetic algorithms
7. Artificial Intelligence: A Modern Approach
8. Deep Learning in Neural Networks: An Overview
9. Artificial intelligence and machine learning: Topic wise explanation
10. Grokking Deep Learning for Computer Vision
11. Dive into Deep Learning - numpy based interactive Deep Learning book
12. Practical Deep Learning for Cloud, Mobile, and Edge - A book for optimization techniques during production.
13. Math and Architectures of Deep Learning - by Krishnendu Chaudhury
14. TensorFlow 2.0 in Action - by Thushan Ganegedara
15. Deep Learning for Natural Language Processing - by Stephan Raaijmakers
16. Deep Learning Patterns and Practices - by Andrew Ferlitsch
17. Inside Deep Learning - by Edward Raff
18. Deep Learning with Python, Second Edition - by François Chollet
19. Evolutionary Deep Learning - by Micheal Lanham
20. Engineering Deep Learning Platforms - by Chi Wang and Donald Szeto
21. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron | Oct 15, 2019
22. The Elements of Statistical Learning Data Mining, Inference, and Prediction, Second Edition by Trevor Hastie, Robert Tibshirani, Jerome Friedman
23. Dive into Deep Learning

papers

I found this REPO more usefuel for papers The roadmap is constructed in accordance with the following four guidelines:

• From outline to detail
• From old to state-of-the-art
• from generic to specific areas
• focus on state-of-the-art

Conferences

1. CVPR - IEEE Conference on Computer Vision and Pattern Recognition
2. AAMAS - International Joint Conference on Autonomous Agents and Multiagent Systems
3. IJCAI - International Joint Conference on Artificial Intelligence
4. ICML - International Conference on Machine Learning
5. ECML - European Conference on Machine Learning
6. KDD - Knowledge Discovery and Data Mining
7. NIPS - Neural Information Processing Systems
8. O'Reilly AI Conference - O'Reilly Artificial Intelligence Conference
9. ICDM - International Conference on Data Mining
10. ICCV - International Conference on Computer Vision
11. AAAI - Association for the Advancement of Artificial Intelligence
12. MAIS - Montreal AI Symposium

Tools

1. Nebullvm - Easy-to-use library to boost deep learning inference leveraging multiple deep learning compilers.
2. Netron - Visualizer for deep learning and machine learning models
3. Jupyter Notebook - Web-based notebook environment for interactive computing
4. TensorBoard - TensorFlow's Visualization Toolkit
5. Visual Studio Tools for AI - Develop, debug and deploy deep learning and AI solutions
6. Google Colab
7. Kaggle
8. Azure

Educatinal websites and Helpful

1. kdnuggets
2. Machine Learning Mastery
3. Analytics Vidhya
4. AWS » Machine Learning Blog
5. Google AI
6. Carnegie Mellon University | Machine Learning Blog
7. BigML.com | Machine Learning Made Simple
8. Medium » Machine Learning
9. Open Data Science » Machine Learning
10. OpenAI Blog
11. Letting neural networks be weird
12. Neuroscience News - Deep Learning
13. Paper With Code

RoadMap WEBsite

AI Expert Roadmap

HERE

Another Resources

my repo