Backpropagation Explained скачать в хорошем качестве

Backpropagation Explained

The most popular optimization strategy in machine learning is called gradient descent. When gradient descent is applied to neural networks, its called back-propagation. In this video, i'll use analogies, animations, equations, and code to give you an in-depth understanding of this technique. Once you feel comfortable with back-propagation, everything else becomes easier. It uses calculus to help us update our machine learning models. Enjoy! Code for this video: https://github.com/llSourcell/backpro... Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter:   / sirajraval   Facebook:   / sirajology   instagram:   / sirajraval   This video is apart of my Machine Learning Journey course: https://github.com/llSourcell/Machine... More learning resources:    • How to Do Linear Regression using Gradient...      • The Evolution of Gradient Descent      • 3.5: Mathematics of Gradient Descent - Int...      • Gradient descent, how neural networks lear...      • Gradient Descent - Artificial Intelligence...   http://neuralnetworksanddeeplearning.... Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Sign up for the next course at The School of AI: https://www.theschool.ai And please support me on Patreon: https://www.patreon.com/user?u=3191693 Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content! Join my AI community: Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz