PyTorch Image Segmentation Tutorial with UNET everything from scratch baby

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=IHq1t7NxS8k

❤️ Support the channel ❤️ • / @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: https://arxiv.org/abs/1505.04597 • My paper review: • U-NET Paper Walkthrough • ✅ Dataset used: https://www.kaggle.com/c/carvana-imag... • Paid Courses I recommend for learning (affiliate links, no extra cost for you): • ⭐ Machine Learning Specialization https://bit.ly/3hjTBBt • ⭐ Deep Learning Specialization https://bit.ly/3YcUkoI • 📘 MLOps Specialization http://bit.ly/3wibaWy • 📘 GAN Specialization https://bit.ly/3FmnZDl • 📘 NLP Specialization http://bit.ly/3GXoQuP • ✨ Free Resources that are great: • NLP: https://web.stanford.edu/class/cs224n/ • CV: http://cs231n.stanford.edu/ • Deployment: https://fullstackdeeplearning.com/ • FastAI: https://www.fast.ai/ • 💻 My Deep Learning Setup and Recording Setup: • https://www.amazon.com/shop/aladdinpe... • GitHub Repository: • https://github.com/aladdinpersson/Mac... • ✅ One-Time Donations: • Paypal: https://bit.ly/3buoRYH • ▶️ You Can Connect with me on: • Twitter - / aladdinpersson • LinkedIn - / aladdin-persson-a95384153 • Github - https://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

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