Скачать с ютуб Hyperparameter Optimization - The Math of Intelligence #7 в хорошем качестве

Hyperparameter Optimization - The Math of Intelligence #7

Hyperparameters are the magic numbers of machine learning. We're going to learn how to find them in a more intelligent way than just trial-and-error. We'll go over grid search, random search, and Bayesian Optimization. I'll also cover the difference between Bayesian and Frequentist probability. Code for this video: https://github.com/llSourcell/hyperpa... Noah's Winning Code: https://github.com/NoahLidell/math-of... Hammad's Runner-up Code: https://github.com/hammadshaikhha/Mat... More learning resources: https://www.iro.umontreal.ca/~bengioy... https://thuijskens.github.io/2016/12/... https://jmhessel.github.io/Bayesian-O... https://arimo.com/data-science/2016/b... https://dhnzl.files.wordpress.com/201... http://blog.revolutionanalytics.com/2...    • Видео   https://nlpers.blogspot.nl/2014/10/hy... http://neupy.com/2016/12/17/hyperpara... Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Thanks to Veritasium (bayesian animation) & Angela Schoellig (drone clip) Follow me: Twitter:   / sirajraval   Facebook:   / sirajology   Instagram:   / sirajraval   Instagram:   / sirajraval   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: http://chatgptschool.io/ Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.co