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: [ Ссылка ]
Next lesson: [ Ссылка ]
📙 Here is a lesson notes booklet that summarizes everything you learn in this course in diagrams and visualizations. You can get it here 👉 [ Ссылка ]
👩💻 You can get access to all the code I develop in this course here: [ Ссылка ]
❓To get the most out of the course, don't forget to answer the end of module questions:
[ Ссылка ]
👉 You can find the answers here:
[ Ссылка ]
RESOURCES:
🏃♀️ Data Science Kick-starter mini-course: [ Ссылка ]
🐼 Pandas cheat sheet: [ Ссылка ]
📥 Streamlit template (updated in 2023, now for $5): [ Ссылка ]
📝 NNs hyperparameters cheat sheet: [ Ссылка ]
📙 Fundamentals of Deep Learning in 25 pages: [ Ссылка ]
COURSES:
👩💻 Hands-on Data Science: Complete your first portfolio project: [ Ссылка ]
🌎 Website - [ Ссылка ]
🐥 Twitter - [ Ссылка ]
Ещё видео!