Learning Resource - Deep Learning for Beginner
What is Machine Learning?
Machine learning is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence.
What is Deep Learning?
Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised.
Materials to start :
Machine Learning Mastery - Start Here
CS229: Machine Learning From Stanford
VIP CheatSheets of CS221, CS229 and CS230
MIT’s Intro to Deep Learning course
Main Types of Neural Networks and its Applications
7 Types of Neural Network Activation Functions: How to Choose?
Basic Concepts of Machine Learning
Basic Concept Videos from deeplizard
Machine Learning & Deep Learning Fundamentals
Intensive Courses From MIT
MIT 6.S191: Introduction to Deep Learning
Stanford Materials
CS229: Machine Learning From Stanford
CS230 Deep Learning From Stanford
Videos From 3Blue1Brown
Essence of linear algebra
https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
Essence of calculus
https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr
Neural networks
Ch1
Ch2
Ch3
Ch4
Visualizing DNN
學習方法的設定簡單說就是回答以下幾個問題：我要學的是什麽？我怎樣學習？我如何去學習？這三個問題概括說就是：學習目標，學習方針與學習計劃。學習目標比較清楚，就是踏入AI領域這個門。這個目標不大，因此實現起來也較為容易。“過大的目標時就是為了你日後放棄它時找到了足夠的理由”。學習方針可以總結為 “興趣為先，踐學結合”。簡單說就是先培養興趣，然後學習中把實踐穿插進來，螺旋式提高。這種方式學習效果好，而且不容易讓人放棄。有了學習方針以後，就可以制定學習計劃，也稱為學習路線。
