Measuring Invariances in Deep Networks Ian J. Goodfellow, Quoc V. Le, Andrew M. Saxe, Honglak Lee, Andrew Y. Ng Computer Science Department Stanford University Stanford, CA 94305

Source URL: www-etud.iro.umontreal.ca

Supplementary Figures and Tables for Digital Microfluidic Platform for the Detection of Rubella Infection and Immunity: A Proof of Concept Alphonsus H.C. Ng,1,3 Misan Lee,2,3 Kihwan Choi,3,4 Andrew T. Fischer,5 John M.

Source URL: microfluidics.utoronto.ca

• Glycoproteins
• Antibodies
• Autoantibodies
• Rheumatoid factor
• Rheumatology
• Immunoglobulin G
• Immunoglobulin M

Transfer Learning for Text Categorization Chuong B. Do and Andrew Y. Ng Presenter: Lei Tang Department of Computer Science & Engineering Arizona State University

Source URL: leitang.net

STAIR: The STanford Artificial Intelligence Robot project Andrew Y. Ng, Stephen Gould, Morgan Quigley, Ashutosh Saxena and Eric Berger Computer Science Department Stanford University Stanford CA 94305

Source URL: snowbird.djvuzone.org

CS294A Lecture notes Andrew Ng Sparse autoencoder 1

Source URL: web.stanford.edu

ROS: an open-source Robot Operating System Morgan Quigley∗ , Brian Gerkey† , Ken Conley† , Josh Faust† , Tully Foote† , Jeremy Leibs‡ , Eric Berger† , Rob Wheeler† , Andrew Ng∗ ∗ Computer Science Dep

Source URL: pub1.willowgarage.com

CS229 Lecture notes Andrew Ng Part X Factor analysis

Source URL: see.stanford.edu

CS229 Lecture notes Andrew Ng Part IV Generative Learning algorithms

Source URL: see.stanford.edu

CS229 Lecture notes Andrew Ng Mixtures of Gaussians and the EM algorithm In this set of notes, we discuss the EM (Expectation-Maximization) for density estimation. Suppose that we are given a training set {x(1) , . . . ,

Source URL: see.stanford.edu

CS229 Lecture notes Andrew Ng Part XI Principal components analysis

Source URL: see.stanford.edu