How Forward Propagation in Neural Networks works

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: https://youtu.be/Mph0cWZsoV4 Next lesson: https://youtu.be/nH9bWLJI_7A 📙 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-learning-course-repo ❓To get the most out of the course, don't forget to answer the end of module questions: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Questions-35797462583d43a3adcea9478bfe035d 👉 You can find the answers here: https://fishy-dessert-4fc.notion.site/Deep-Learning-101-Answers-f90449595add492fb9dd8db3859662e3 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