Part 2: Best Settings to Initialize Your NN with
Now that we learned about all the issues that can arise when building g Neural Networks and how to deal with them, we will look into how to put all this knowledge into practical use. In this exercise, we will learn about the best way to initialize a neural network.
Previous lesson: • Part 1: Getting Ready to Build your F...
Next lesson: • Part 3: Training the Neural Network
📙 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-lea...
❓To get the most out of the course, don't forget to answer the end of module questions:
https://fishy-dessert-4fc.notion.site...
👉 You can find the answers here:
https://fishy-dessert-4fc.notion.site...
RESOURCES:
🏃♀️ Data Science Kick-starter mini-course: https://www.misraturp.com/courses/dat...
🐼 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-hyperpar...
📙 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 - / misraturp
