Uploaded November 2022 | Updated September 2026, 2 hours ago

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Neural Networks and neural network based architecturres are powerful models that can deal with abstract problems but they are known for taking a long time to train. In this video, we learn how normalization can speed up neural network training.

Previous lesson: youtu.be/9kyDeT9j2uc
Next lesson: youtu.be/uFN40asG61g

📙 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