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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. In this video, let's learn about different type of performances and how to decide which one to aim for when you're training your neural network. Previous lesson: • How to Evaluate a Neural Network's Perform... Next lesson: • What is the Optimal Performance of a Neura... 📙 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://misraturp.gumroad.com/l/kick-... 🐼 Pandas cheat sheet: https://misraturp.gumroad.com/l/pandascs 📙 Fundamentals of Deep Learning in 25 pages: https://misraturp.gumroad.com/l/fdl 🌎 Website - https://misraturp.com/ 🐥 Twitter - / misraturp