Detecting Eye Disease using Deep Learning | Kaggle Top 1% Solution, No Ensemble скачать в хорошем качестве

Detecting Eye Disease using Deep Learning | Kaggle Top 1% Solution, No Ensemble

❤️ 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 2:45 - Overview of DR and how to detect 9:11 - A look at the data 12:15 - Creating a baseline solution 24:22 - Result from baseline 26:25 - Idea #1: Preprocessing 34:07 - Result #1 35:19 - Idea #2: Loss Function 39:03 - Result #2 39:59 - Idea #3: Balanced Loader (skipped) 41:30 - Idea #4: Augmentation 42:52 - Result #4 43:44 - Idea #5: Using left and right information 51:03 - Result #5 51:50 - Idea #6: Increase image resolution 55:00 - Result #6 from various resolutions 55:10 - Final Result and Ending