In this video, we learn how to tune a neural network's hyperparameters to help it perform better.
Previous lesson: https://youtu.be/2tpMtQWqqkI
Next lesson: https://youtu.be/FlQCHCHg-ks
📙 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/
🐥 Twitter - https://twitter.com/misraturp