100 Days of Deep Learning - Data Scaling in Neural Network | Feature Scaling in ANN | End to End Deep Learning Course

Data scaling is a recommended pre-processing step when working with deep learning neural networks. Data scaling can be achieved by normalizing or standardizing real-valued input and output variables. Notes: https://learnwith.campusx.in/s/store/courses/YouTube%20Notes Code - https://colab.research.google.com/drive/1lexRUY37fJd6op-WiJicPRB65PwA8YaO?usp=sharing Video on Standardization: https://www.youtube.com/watch?v=1Yw9sC0PNwY Video on Normalization: https://www.youtube.com/watch?v=eBrGyuA2MIg ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 👍If you find this video helpful, consider giving it a thumbs up and subscribing for more educational videos on data science! 💭Share your thoughts, experiences, or questions in the comments below. I love hearing from you! ⌚Time Stamps⌚ 00:00 - Intro 03:15 - Code Demo/Feature Scaling 06:00 - Intuition