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 👉 https://misraturp.gumroad.com/l/fdl

👩‍💻 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