Gradient Descent from Scratch - Deep Learning with Tensorflow | Ep. 5

This episode shows how to implement a Gradient Descent algorithm using TensorFlow low level features such as tensors, variables, and automatic differentiation. #machinelearning #deeplearning #ml #ai Code: https://github.com/KodySimpson/deeplearning-tensorflow Join the Community! - https://rebrand.ly/discordlink Want to Support the Channel? - Become a Member: https://www.youtube.com/KodySimpson/join - https://buymeacoffee.com/kodysimpson My Socials: Github: https://github.com/KodySimpson Instagram: https://www.instagram.com/kody_a_simpson/ Twitter: https://twitter.com/kodysimp 00:00:00 - Introduction 00:01:06 - Data Preparation 00:01:45 - Feature Scaling 00:02:12 - Adding Bias Term 00:04:07 - Implementing Gradient Descent 00:11:01 - Evaluating Model Performance 00:13:00 - Conclusion