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 […]

Intro to Psychology | Udacity

[latexpage] Brief Information Instructors: Susan Snycerski (Assistant Professor, San Jose State University) Greg Feist?(Professor, San Jose State University) Lauren Castellano (Udacity) Flatform: Udacity Course homepage:?https://www.udacity.com/course/intro-to-psychology–ps001 Duration 2017-08-24~present: (blank) About this course Introduction to Psychology is a journey through all of the major psychological concepts and principles. The knowledge gained from this course will allow students […]

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 […]

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  

Studying ‘Cognitive Science’

References Cognitive Science | Stanford Encyclopedia of Philosophy Suilin Lavelle, Kenny Smith, Mark Sprevak, David Carmel, Andy Clark & Barbara Webb (Mar. 2017) Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences. the University of Edinburgh. Coursera. 이정모. (2009). 인지과학: 학문 간 융합의 원리와 응용. 서울: 성균관대학교출판부. 이정모. (2010).?인지과학: 과거-현재-미래. 서울: 학지사. 장병탁, […]