Скачать с ютуб Regularization with Data Augmentation and Early Stopping в хорошем качестве

Regularization with Data Augmentation and Early Stopping

Overfitting is one of the main problems we face when building neural networks. Before jumping into trying out fixes for over or underfitting, it is important to understand what it means, why it happens and what problems it causes for our neural networks. In this video, we will learn about the data augmentation and early stopping techniques that are used to deal with overfitting. We will learn how and why data augmentation and early stopping work when dealing with overfitting. Previous lesson:    • What is Dropout Regularization | How ...   Next lesson:    • How to Implement Regularization on Ne...   📙 Here is a lesson notes booklet that summarizes everything you learn in this course in diagrams and visualizations. You can get it here 👉 https://misraturp.gumroad.com/l/fdl 📕 NNs hyperparameters cheat sheet: https://www.soyouwanttobeadatascienti... 👩‍💻 You can get access to all the code I develop in this course here: https://github.com/misraturp/Deep-lea... ❓To get the most out of the course, don't forget to answer the end of module questions: https://fishy-dessert-4fc.notion.site... 👉 You can find the answers here: https://fishy-dessert-4fc.notion.site... RESOURCES: 🏃‍♀️ Data Science Kick-starter mini-course: https://www.misraturp.com/courses/dat... 🐼 Pandas cheat sheet: https://misraturp.gumroad.com/l/pandascs 📥 Streamlit template (updated in 2023, now for $5): https://misraturp.gumroad.com/l/stemp 📝 NNs hyperparameters cheat sheet: https://www.misraturp.com/nn-hyperpar... 📙 Fundamentals of Deep Learning in 25 pages: https://misraturp.gumroad.com/l/fdl COURSES: 👩‍💻 Hands-on Data Science: Complete your first portfolio project: https://www.misraturp.com/hods 🌎 Website - https://misraturp.com/ 🐥 Twitter -   / misraturp