💫 Deep Learning Notes

Asmaa Mirkhan's notes (and codes) on deep learning

🎤 About
🕸 My notes about Artificial Neural Networks, Convolutional Neural Networks and Recurrent Neural Networks with theoretical details
🦋 I will share new details as I learn new concepts in this context 
📑 Table of Contents
#
Title
0.
​👩‍🏫 Theoric Concepts of Neural Networks​
1.
​🙋‍♀️ Hello World of Deep Learning With Neural Networks​
2.
​👓 Introduction to Computer Vision​
3.
​👩‍🏫 Theoric Concepts of Convolutional Neural Networks​
4.
​👩‍🔧 Works on Convolutional Neural Networks​
5.
​🚙 Deep Learning Strategies​
6.
​🤡 Image Augmentation​
7.
​👷‍♀️ Applied Machine Learning​
8.
​🕵️‍♀️ Object Detection​
9.
​➰ Sequence Models​
💉 Extensions
#
Title
0.
​📚 PDFs that I found and recommend​
1.
​👀 Visual materials for quick info​
🚀 Other Version
Turkish version of this project is here​
🙌 Quote
"Your learning algorithm has two main sources of knowledge; one is the data and other is whatever you hand design" 🤔🚀
⭐ Please..
✨ Help me to improve and to increase the content by opening a pull request
👓 Tell me your suggestions by sending me an email or opening an issue
🙆 Contact & Support
Find me on LinkedIn and feel free to mail me, Asmaa 🦋​

💼 Practical Tools

Last updated 2 weeks ago

#	Title
0.	👩‍🏫 Theoric Concepts of Neural Networks
1.	🙋‍♀️ Hello World of Deep Learning With Neural Networks
2.	👓 Introduction to Computer Vision
3.	👩‍🏫 Theoric Concepts of Convolutional Neural Networks
4.	👩‍🔧 Works on Convolutional Neural Networks
5.	🚙 Deep Learning Strategies
6.	🤡 Image Augmentation
7.	👷‍♀️ Applied Machine Learning
8.	🕵️‍♀️ Object Detection
9.	➰ Sequence Models

#	Title
0.	📚 PDFs that I found and recommend
1.	👀 Visual materials for quick info