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An MIT Press book in preparation Yoshua Bengio, Ian Goodfellow and Aaron Courville Citing the book in preparation To cite this book in preparation, please use the following bibtex entry: @unpublished{Bengio-et-al-2015-Book, title={Deep Learning}, author={Yoshua Bengio and Ian J. Goodfellow and Aaron Courville}, note={Book in preparation for MIT Press}, url={http://www.iro.umontreal.ca/~bengioy/dlb

ICML 2012 Representation Learning Tutorial Yoshua Bengio U. Montreal June 26th, 2012, Edinburgh, Scotland The success of machine learning algorithms generally depends on data representation, and we hypothesize that this is because different representations can entangle and hide more or less the different explanatory factors of variation behind the data.  Although domain knowledge can be used to he

Graduate Summer School 2012 on deep learning and feature learning Institute for Pure and Applied Mathematics (IPAM) Representation Learning and Deep Learning Yoshua Bengio U. Montreal July, 2012, UCLA The success of machine learning algorithms generally depends on data representation, and we hypothesize that this is because different representations can entangle and hide more or less the different

Introduction to Deep Learning Algorithms¶ See the following article for a recent survey of deep learning: Yoshua Bengio, Learning Deep Architectures for AI, Foundations and Trends in Machine Learning, 2(1), 2009 Depth¶ The computations involved in producing an output from an input can be represented by a flow graph: a flow graph is a graph representing a computation, in which each node represents

TestU01 THIS PAGE IS OBSOLETE. HERE is the NEW page TestU01 is a software library, implemented in the ANSI C language, and offering a collection of utilities for the empirical statistical testing of uniform random number generators. The library implements several types of random number generators in generic form, as well as many specific generators proposed in the literature or found in widely-use

1.1 Accessing the system files Files related to Gambit, such as executables, libraries and header files, are stored in multiple Gambit installation directories. Gambit may be installed on a system according to two different installation models. In the first model there is a single directory where all the Gambit installation directories are stored. This central installation directory is typically /

Gambit-C vs. Bigloo vs. Chicken vs. MzScheme vs. Scheme48 The following tables contain the execution time of the Gambit benchmarks on various implementations of Scheme in different situations. For a given benchmark and situation, the entry in green indicates which Scheme system has the fastest execution and the number given is the CPU time in milliseconds. Other entries give the execution time rel

Emacs Lisp packages I maintain several Elisp packages, most of which are included in Emacs. Here are the ones that still aren't included. Send any complaint/question/praise/ice-cream to me. SML mode Its home page is now at GNU ELPA. SML-mode is a major Emacs mode for editing Standard ML source code. It provides syntax highlighting and automatic indentation and supports interaction with an inferior