Andrew Ng’s Advice For Machine Learning Career
https://www.quora.com/I-want-to-pursue-machine-learning-as-a-career-but-not-sure-if-I-am-qualified-How-can-I-test-myself
Artificial Intelligence
Neural Networks and Learning Machines. 3rd Ed. Simon O. Haykins. Pearson. 2008
Chapter 8. Principal-Components Analysis 8.1 Introduction 8.2 Principles of Self-Organization Principle 1. Self-Amplification Principle 2. Competition Principle 3. Cooperation Principle 4. Structural Information 8.3 Self-Organized Feature Analysis 8.4 Principal-Components Analysis: Perturbation Theory 8.5 Hebbian-Based maximum Eigenfilter 8.6 Hebbian-Based Principal Components Analysis 8.7 Case Study: Image Coding 8.8 Kernel Principal-Components Analysis 8.9 Basic Issues Involved in […]
Computational Neuroscience | Course | MS CogSci
Range 8.1~8.7 9.1~9.10 10.1~10.14 10.19~10.21 Chapter 8. Principal-Components Analysis 8.1. Introduction Self-organized learning Self-organized learning is a type of unsupervised learning. locality of learning 8.2. Principles of Self-Organization Principle 1: self-amplification The following rule is based on Hebb’s postulate of learning. If two neurons of a synapse are activated simultaneously, then synaptic strength is selectively […]
Machine Learning | Tom M. Mitchell | McGraw Hill | 1997
Title: Machine Learning Author: Tom M. Mitchell Pages: 414 Publish year: 1997
Sequence to Sequence Learning with Neural Networks | Summary
References Ilya Sutskever, Oriol Vinyals, Quoc V. Le (2014). “Sequence to Sequence Learning with Neural Networks”. NIPS 2014: 3104-3112. [PDF] Sequence-to-Sequence Models. TensorFlow [LINK] The official tutorial for sequence-to-sequence models. Seq2seq Library (contrib). Tensorflow [LINK] Translation with a Sequence to Sequence Network and Attention. PyTorch. [LINK]
Studying Tensorflow
References LearningTensorFlow.com G?ron, A. (2017). Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems.?O’Reilly Media [Amazon] Siraj Raval (2016. 8. 19.). TensorFlow in 5 Minutes. YouTube. [YouTube] TensorBoard: 그래프 시각화 [LINK] Cifar-10 CNN implementation using TensorFlow library with 24% error [GitHub] Q&A In TensorFlow, what is the difference between […]
Heroes of Deep Learning Interviews by Andrew Ng
Heroes of Deep Learning: Andrew Ng interviews Geoffrey Hinton [40:23] Heroes of Deep Learning: Andrew Ng interviews Ian Goodfellow [14:56] Heroes of Deep Learning: Andrew Ng interviews Yoshua Bengio [25:49] Heroes of Deep Learning: Andrew Ng interviews Pieter Abbeel [16:04] Heroes of Deep Learning: Andrew Ng interviews Head of Baidu Research, Yuanqing Lin [13:37] Heroes […]
Deep Learning | Udacity
[latexpage] Brief Information Instructor:?Vincent Vanhoucke (Principal Scientist at Google Brain) Flatform: Udacity Course homepage:?https://www.udacity.com/course/deep-learning–ud730 Duration 2017-08-24~25:?Took Lesson 1, 3-7 without programming assignments. Course Overview Lesson 1: From Machine Learning to Deep Learning Lesson 2: Assignment: notMNIST Lesson 3: Deep Neural Networks Lesson 4: Convolutional Neural Networks Lesson 5: Deep Models for Text and Sequences Lesson […]
Pattern Recognition and Machine Learning by Christopher M. Bishop
Deep Learning by I. Goodfellow, Y. Bengio and A. Courville
Chapter 1 (h3) Section 1.1 (h4) Section 1.1.1 (h5) Theme (h6) Chapter 1 Introduction The performance of machine learning algorithms depends heavily on the representation of the data. The representation consists of features. Representation learning is machine learning to learn efficient representation of the given data. Deep learning so