Simple Methods for Hyperparameter Tuning

In this video, we learn how to tune hyperparameters of the network with some simple methods like grid search and random search.

Previous lesson: https://youtu.be/lPc9Io79e94
Next lesson: https://youtu.be/o0nNKZNjokM

📙 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://www.misraturp.com/courses/data-science-kick-starter-mini-course
🐼 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-hyperparameters-cheat-sheet
📙 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/
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