Advanced Methods for Hyperparameter Tuning

In this video, we learn how to tune hyperparameters of the network with advanced methods like Bayesian search, gradient-based search, and evolutionary computing. Previous lesson:    • Simple Methods for Hyperparameter Tuning   Next lesson:    • How to Understand What's Wrong with a...   📙 Here is a lesson notes booklet that summarizes everything you learn in this course in diagrams and visualizations. You can get it here 👉 misraturp.gumroad.com/l/fdl 👩‍💻 You can get access to all the code I develop in this course here: github.com/misraturp/Deep-learning-course-repo ❓To get the most out of the course, don't forget to answer the end of module questions: fishy-dessert-4fc.notion.site/Deep-Learning-101-Qu… 👉 You can find the answers here: fishy-dessert-4fc.notion.site/Deep-Learning-101-An… RESOURCES: 🏃‍♀️ Data Science Kick-starter mini-course: www.misraturp.com/courses/data-science-kick-starte… 🐼 Pandas cheat sheet: misraturp.gumroad.com/l/pandascs 📥 Streamlit template (updated in 2023, now for $5): misraturp.gumroad.com/l/stemp 📝 NNs hyperparameters cheat sheet: www.misraturp.com/nn-hyperparameters-cheat-sheet 📙 Fundamentals of Deep Learning in 25 pages: misraturp.gumroad.com/l/fdl COURSES: 👩‍💻 Hands-on Data Science: Complete your first portfolio project: www.misraturp.com/hods 🌎 Website - misraturp.com/ 🐥 Twitter - twitter.com/misraturp

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