Uploaded November 2022 | Updated September 2026, 3 hours ago

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We can now build, train and test Neural Networks but what is the best way to evaluate whether a Network is doing well or not. Let's learn!

Previous lesson: youtu.be/6eZuv5SNttA
Next lesson: youtu.be/5gpJ7VUlUag

📙 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:
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: misraturp.gumroad.com/l/kick-starter
🐼 Pandas cheat sheet: misraturp.gumroad.com/l/pandascs
📙 Fundamentals of Deep Learning in 25 pages: misraturp.gumroad.com/l/fdl

🌎 Website - misraturp.com
🐥 Twitter - twitter.com/misraturp