"Deep Learning - From Basics to Practice" by Andrew Glassner

Для всех: форкнул для себя, лень класть в закладки

По мере появления мыслей буду добавлять примеры(возможно)

Name		Name	Last commit message	Last commit date
Latest commit History 89 Commits
Chapter01-IntroToMachineLearning		Chapter01-IntroToMachineLearning
Chapter02-Statistics		Chapter02-Statistics
Chapter03-Probability		Chapter03-Probability
Chapter04-BayesRule		Chapter04-BayesRule
Chapter05-CurvesAndSurfaces		Chapter05-CurvesAndSurfaces
Chapter06-InformationTheory		Chapter06-InformationTheory
Chapter07-Classification		Chapter07-Classification
Chapter09-OverfittingAndUnderfitting		Chapter09-OverfittingAndUnderfitting
Chapter12-DataPreparation		Chapter12-DataPreparation
Chapter13-Classifiers		Chapter13-Classifiers
Chapter15-Scikit-Learn		Chapter15-Scikit-Learn
Chapter16-FeedForwardNetworks		Chapter16-FeedForwardNetworks
Chapter17-ActivationFunctions		Chapter17-ActivationFunctions
Chapter18-Backpropagation		Chapter18-Backpropagation
Chapter19-Optimizers		Chapter19-Optimizers
DLBasics_Utilities		DLBasics_Utilities
LICENSE		LICENSE
README.md		README.md