PyTorch Image Segmentation Tutorial with U-NET: everything from scratch baby скачать в хорошем качестве

PyTorch Image Segmentation Tutorial with U-NET: everything from scratch baby

❤️ 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