How to Evaluate Neural Network Performance

Let's start with implementing your first neural network using Python and Keras on a Jupyter Notebook. In this section, we will evaluate the performance of the network we trained in the prev ious lesson. Previous lesson: https://youtu.be/lcqgceCr_bk Next lesson: https://youtu.be/r2TvNmAxiCU 📙 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 👩‍💻 All course code is in the course repository: https://github.com/misraturp/Deep-learning-course-repo RESOURCES: 🏃‍♀️ Data Science Kick-starter mini-course: https://www.misraturp.com/courses/data-science-kick-starter-mini-course 🐼 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-hyperparameters-cheat-sheet 📙 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 - https://twitter.com/misraturp