Backward Propagation in Neural Networks explained

Welcome to Deep Learning 101. In this course we will start from the ground and build a solid foundation for advanced deep learning practices. In this first lesson we will take an overall look at deep learning to understand what it means. We will learn the first terminology and the main building blocks of deep learning. This way we can start the following week’s lessons confidently. Previous lesson: Next lesson: TBP 📙 You can get the slides and course notes on the course Notion page: 👩‍💻 You can get access to all the code I develop in this course here: ❓To get the most out of the course, don’t forget to answer the end of module questions: 👉 You can find the answers here: FREE STUFF: Pandas cheat sheet: NNs hyperparameters cheat sheet: Streamlit template: Data Science Kick-starter mini-course: COURSES: Hands-on Data Science: Complete your first portfolio project: Website - Twitter -