Pix2Pix Paper Walkthrough скачать в хорошем качестве

Pix2Pix Paper Walkthrough

❤️ Support the channel ❤️    / @aladdinpersson   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 Timestamps: 0:00 - Introduction 1:29 - Overview of paper 2:25 - Why GANs for Pix2Pix 3:16 - Loss Function 5:12 - Generator Architecture 9:24 - Discriminator Architecture 12:00 - Some training details 13:24 - Turkers to evaluate GANs 14:10 - Patch size for Discriminator 15:19 - Generator works for larger images 15:50 - More details for implementation 19:05 - Ending