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: https://youtu.be/vnXx7t2pnvQ
Next lesson: https://youtu.be/2tpMtQWqqkI
📙 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-learning-course-repo
❓To get the most out of the course, don't forget to answer the end of module questions:
https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Questions-35797462583d43a3adcea9478bfe035d
👉 You can find the answers here:
https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Answers-f90449595add492fb9dd8db3859662e3
RESOURCES:
🏃♀️ Data Science Kick-starter mini-course: https://misraturp.gumroad.com/l/kick-starter
🐼 Pandas cheat sheet: https://misraturp.gumroad.com/l/pandascs
📙 Fundamentals of Deep Learning in 25 pages: https://misraturp.gumroad.com/l/fdl
🌎 Website - https://misraturp.com/
🐥 Twitter - https://twitter.com/misraturp
