Complete Deep Learning & Computer Vision Roadmap for Beginners

Hey, what's up! In this video, I have shared my complete roadmap to learn Deep Learning and Computer Vision. I have provided all the resources including online courses as well as my deep learning and computer vision projects. Keep learning!

📃 My Resume: https://docs.google.com/document/d/1VAHZi99mD4x2IguNzMIfz_BV4D4b6Nah9ev7pAGvsRA/edit?usp=sharing

📘 My Deep Learning Notes: https://drive.google.com/file/d/15XOdIEv3efE2d_wak6Av5-9emqorKHQG/view?usp=sharing
📘 My Reinforcement Learning Notes: https://drive.google.com/file/d/15a-9iXaXObs41g8VCAABxpIkDx6fvcvX/view?usp=sharing
📘 My Linear Algebra Notes: https://drive.google.com/file/d/15YMft42iWIH-iqtVPg2-Mz7z3EKmJX3E/view?usp=sharing

Resources:
Machine Learning Course by Andrew Ng: https://www.coursera.org/learn/machine-learning
Deep Learning NPTEL Course: https://www.youtube.com/watch?v=aPfkYu_qiF4&list=PLEAYkSg4uSQ1r-2XrJ_GBzzS6I-f8yfRU
Python: https://www.youtube.com/watch?v=_uQrJ0TkZlc
Numpy: https://www.youtube.com/watch?v=QUT1VHiLmmI
Matplotlib: https://www.youtube.com/watch?v=UO98lJQ3QGI&list=PL-osiE80TeTvipOqomVEeZ1HRrcEvtZB_
OS Module: https://www.youtube.com/watch?v=tJxcKyFMTGo
OpenCV: https://www.youtube.com/watch?v=oXlwWbU8l2o
PyTorch: https://www.youtube.com/watch?v=v5cngxo4mIg&list=PLZbbT5o_s2xrfNyHZsM6ufI0iZENK9xgG

Face Landmarks Detection Article: https://towardsdatascience.com/face-landmarks-detection-with-pytorch-4b4852f5e9c4
Automated Image Captioning Prediction Notebook: https://colab.research.google.com/drive/1hgpCXXiFIpFnYfbK1sQTcPFoyaSKMrcx?usp=sharing

📖 Recommended Books:
Atomic Habits: https://amzn.to/34uHRoV
The 4-Hour Work Week: https://amzn.to/3nbgdnt
Start with Why: https://amzn.to/3Ge7EzE

📱 Daily Drivers:
M1 MacBook Air: https://amzn.to/3mKN4zj
AirPods Pro: https://amzn.to/3eFQwa4
Kindle E-reader: https://amzn.to/3qj8Qwp

🎬 YouTube gear:
Wildcraft Shutter Bug Camera bag: https://amzn.to/3JT5mbr
Sony a6400 Mirrorless Camera: https://amzn.to/334APab
BOYA Lav Mic: https://amzn.to/33hZlUQ
Portable RGB Light: https://amzn.to/3f7po3V
Samsung T7 SSD: https://amzn.to/3JXFsDC
Amazon 50 inch Tripod: https://amzn.to/3tdTHy6

🙋🏼‍♂️ About me:
I'm Abdur, a final-year undergrad at NIT-Trichy, one of India's top 10 engineering schools. I am an incoming MSc student in the field of Applied Computing at the University of Toronto, starting fall 2022. I make videos about education, technology and productivity. I consume a lot of self-improvement content predominantly in the form of books and I love to share the key insights from them through my videos.

👋🏼 Be my friend:
🌍 Website: https://arkalim.netlify.app
📸 Instagram: https://www.instagram.com/abdur.rahman.kalim
👔 LinkedIn: https://www.linkedin.com/in/abdurrahmankalim
✍🏼 Medium: https://medium.com/@abdur.rahman.kalim

🎵 Background Music Credits:
Rhodesia by Twin Musicom is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/by/4.0/
Artist: http://www.twinmusicom.org/

Видео Complete Deep Learning & Computer Vision Roadmap for Beginners канала Tahseer