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/ @aladdinpersson
Semantic segmentation with U-NET implementation from scratch.
You'll learn about:
✔️How to implement U-Net
✔️Setting up training and everything else :)
Original paper: arxiv.org/abs/1505.04597
My paper review: • U-NET Paper Walkthrough
✅ Dataset used: www.kaggle.com/c/carvana-imag...
Paid Courses I recommend for learning (affiliate links, no extra cost for you):
⭐ Machine Learning Specialization bit.ly/3hjTBBt
⭐ Deep Learning Specialization bit.ly/3YcUkoI
📘 MLOps Specialization bit.ly/3wibaWy
📘 GAN Specialization bit.ly/3FmnZDl
📘 NLP Specialization bit.ly/3GXoQuP
✨ Free Resources that are great:
NLP: web.stanford.edu/class/cs224n/
CV: cs231n.stanford.edu/
Deployment: fullstackdeeplearning.com/
FastAI: www.fast.ai/
💻 My Deep Learning Setup and Recording Setup:
www.amazon.com/shop/aladdinpe...
GitHub Repository:
github.com/aladdinpersson/Mac...
✅ One-Time Donations:
Paypal: bit.ly/3buoRYH
▶️ You Can Connect with me on:
Twitter - / aladdinpersson
LinkedIn - / aladdin-persson-a95384153
Github - github.com/aladdinpersson
⌚️ Timestampo:
0:00 - Introduction
1:03 - Model from scratch
22:20 - Dataset from scratch
29:50 - Training from scratch
39:48 - Utils (almost) from scratch
50:10 - Evaluation and Ending