Скачать с ютуб PYTORCH COMMON MISTAKES - How To Save Time 🕒 в хорошем качестве

PYTORCH COMMON MISTAKES - How To Save Time 🕒

In this video I show you 10 common Pytorch mistakes and by avoiding these you will save a lot time on debugging models. This was inspired by a tweet by Andrej Karpathy and that's why I said it was approved by him :) Andrej Karpathy Tweet:   / 1013244313327681536   ❤️ 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 OUTLINE: 0:00 - Introduction 0:21 - 1. Didn't overfit batch 2:45 - 2. Forgot toggle train/eval 4:47 - 3. Forgot .zero_grad() 6:15 - 4. Softmax when using CrossEntropy 8:09 - 5. Bias term with BatchNorm 9:54 - 6. Using view as permute 12:10 - 7. Incorrect Data Augmentation 14:19 - 8. Not Shuffling Data 15:28 - 9. Not Normalizing Data 17:28 - 10. Not Clipping Gradients 18:40 - Which ones did I miss?