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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: docs.google.com/document/d/1V...
📘 My Deep Learning Notes: drive.google.com/file/d/15XOd...
📘 My Reinforcement Learning Notes: drive.google.com/file/d/15a-9...
📘 My Linear Algebra Notes: drive.google.com/file/d/15YMf...
Resources:
Machine Learning Course by Andrew Ng: www.coursera.org/learn/machin...
Deep Learning NPTEL Course: • Deep Learning - Course...
Python: • Python Tutorial - Pyth...
Numpy: • Python NumPy Tutorial ...
Matplotlib: • Matplotlib Tutorial (P...
OS Module: • Python Tutorial: OS Mo...
OpenCV: • OpenCV Course - Full T...
PyTorch: • PyTorch Prerequisites ...
Face Landmarks Detection Article: towardsdatascience.com/face-l...
Automated Image Captioning Prediction Notebook: colab.research.google.com/dri...
📖 Recommended Books:
Atomic Habits: amzn.to/34uHRoV
The 4-Hour Work Week: amzn.to/3nbgdnt
Start with Why: amzn.to/3Ge7EzE
📱 Daily Drivers:
M1 MacBook Air: amzn.to/3mKN4zj
AirPods Pro: amzn.to/3eFQwa4
Kindle E-reader: amzn.to/3qj8Qwp
🎬 KZbin gear:
Wildcraft Shutter Bug Camera bag: amzn.to/3JT5mbr
Sony a6400 Mirrorless Camera: amzn.to/334APab
BOYA Lav Mic: amzn.to/33hZlUQ
Portable RGB Light: amzn.to/3f7po3V
Samsung T7 SSD: amzn.to/3JXFsDC
Amazon 50 inch Tripod: 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: arkalim.netlify.app
📸 Instagram: / abdur.rahman.kalim
👔 LinkedIn: / abdurrahmankalim
✍🏼 Medium: / abdur.rahman.kalim
🎵 Background Music Credits:
Rhodesia by Twin Musicom is licensed under a Creative Commons Attribution 4.0 license. creativecommons.org/licenses/...
Artist: www.twinmusicom.org/