• 71 Pages lec13
    Lec13

    School: Toledo

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  • 676 Pages lec12
    Lec12

    School: Toledo

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  • 115 Pages lec11
    Lec11

    School: Toledo

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  • 1205 Pages lec10
    Lec10

    School: Toledo

    %!PS-Adobe-3.0 %Title: Microsoft PowerPoint - lec10 %Creator: PScript5.dll Version 5.2 %CreationDate: 10/31/2006 15:13:2 %For: geoff %BoundingBox: (atend) %Pages: (atend) %Orientation: Landscape %PageOrder: Special %DocumentNeededResources: (atend) %

  • 42 Pages lec9extra
    Lec9extra

    School: Toledo

    %!PS-Adobe-3.0 %Title: Microsoft PowerPoint - lec9extra %Creator: PScript5.dll Version 5.2 %CreationDate: 10/31/2006 15:10:29 %For: geoff %BoundingBox: (atend) %Pages: (atend) %Orientation: Landscape %PageOrder: Special %DocumentNeededResources: (ate

  • 931 Pages lec9
    Lec9

    School: Toledo

    %!PS-Adobe-3.0 %Title: Microsoft PowerPoint - lec9 %Creator: PScript5.dll Version 5.2 %CreationDate: 10/24/2006 14:10:46 %For: geoff %BoundingBox: (atend) %Pages: (atend) %Orientation: Landscape %PageOrder: Special %DocumentNeededResources: (atend) %

  • 134 Pages lec8
    Lec8

    School: Toledo

    %!PS-Adobe-3.0 %Title: Microsoft PowerPoint - lec8 %Creator: PScript5.dll Version 5.2 %CreationDate: 10/24/2006 14:55:1 %For: geoff %BoundingBox: (atend) %Pages: (atend) %Orientation: Landscape %PageOrder: Special %DocumentNeededResources: (atend) %D

  • 844 Pages beal
    Beal

    School: Toledo

    %PDF-1.2 6 0 obj < /S /GoTo /D [5 0 R endobj 10 0 obj < /Length 11 0 R /Filter /FlateDecode > stream x PSMo0 /Fit ] > W4[r C.5#JuF#peA()M#A# #$"#iN#.N#i,#_O8kI^nWhVk#F#8#1*l+"* gr#LhR9Ggi; hNColC!#[#? K"$#nK~!GW#`8~HM"#:e#_#b!M> #OF#!.B,#S#*cAp#E|

  • 844 Pages beal
    Beal

    School: Toledo

    %PDF-1.2 6 0 obj < /S /GoTo /D [5 0 R endobj 10 0 obj < /Length 11 0 R /Filter /FlateDecode > stream x PSMo0 /Fit ] > W4[r C.5#JuF#peA()M#A# #$"#iN#.N#i,#_O8kI^nWhVk#F#8#1*l+"* gr#LhR9Ggi; hNColC!#[#? K"$#nK~!GW#`8~HM"#:e#_#b!M> #OF#!.B,#S#*cAp#E|

  • 191 Pages hintonvancamp
    Hintonvancamp

    School: Toledo

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  • 486 Pages lec6a
    Lec6a

    School: Toledo

    %!PS-Adobe-3.0 %Title: Microsoft PowerPoint - lec6a %Creator: PScript5.dll Version 5.2 %CreationDate: 9/26/2006 16:35:38 %For: geoff %BoundingBox: (atend) %Pages: (atend) %Orientation: Landscape %PageOrder: Special %DocumentNeededResources: (atend) %

  • 24 Pages mackay33
    Mackay33

    School: Toledo

    Copyright Cambridge University Press 2003. On-screen viewing permitted. Printing not permitted. http:/www.cambridge.org/0521642981 You can buy this book for 30 pounds or $50. See http:/www.inference.phy.cam.ac.uk/mackay/itila/ for links. 32 Exact Mo

  • 84 Pages percepts
    Percepts

    School: Toledo

    In M. Jenkin and L. R. Harris editors, Computational and Biological Mechanisms of Visual Coding, Cambridge University Press, New York NY, 1997. A simple algorithm that discovers e cient perceptual codes Brendan J. Frey, Peter Dayan and Geo rey E. Hi

  • 894 Pages percepts
    Percepts

    School: Toledo

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  • 183 Pages lec5
    Lec5

    School: Toledo

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  • 34 Pages sff
    Sff

    School: Toledo

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  • 252 Pages lec3
    Lec3

    School: Toledo

    %!PS-Adobe-3.0 %Title: Microsoft PowerPoint - lec3 %Creator: PScript5.dll Version 5.2 %CreationDate: 9/5/2006 12:24:45 %For: geoff %BoundingBox: (atend) %Pages: (atend) %Orientation: Landscape %PageOrder: Special %DocumentNeededResources: (atend) %Do

  • 465 Pages vnips
    Vnips

    School: Toledo

    %!PS-Adobe-2.0 %Creator: dvips(k) 5.86 Copyright 1999 Radical Eye Software %Title: vnips.dvi %Pages: 8 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: Times-Bold Times-Roman CMSY10 Times-Italic Helvetica %+ CMR10 CMMI10 CMMI7 CMR7 %EndCo

  • 45 Pages bengiowords
    Bengiowords

    School: Toledo

    %!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: nips00_lm.dvi %Pages: 7 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: Times-Bold Times-Roman Times-Italic Courier %DocumentPaperSizes: Letter %EndC

  • 479 Pages lec2nomovies
    Lec2nomovies

    School: Toledo

    %!PS-Adobe-3.0 %Title: Microsoft PowerPoint - lec2nomovies %Creator: PScript5.dll Version 5.2 %CreationDate: 8/29/2006 15:1:16 %For: geoff %BoundingBox: (atend) %Pages: (atend) %Orientation: Landscape %PageOrder: Special %DocumentNeededResources: (at

  • 224 Pages lec1
    Lec1

    School: Toledo

    %!PS-Adobe-3.0 %Title: Microsoft PowerPoint - lec1 %Creator: PScript5.dll Version 5.2 %CreationDate: 8/21/2006 22:29:9 %For: geoff %BoundingBox: (atend) %Pages: (atend) %Orientation: Landscape %PageOrder: Special %DocumentNeededResources: (atend) %Do

  • 257 Pages lec11
    Lec11

    School: Toledo

    %!PS-Adobe-3.0 %Title: Microsoft PowerPoint - lec11 %Creator: PScript5.dll Version 5.2 %CreationDate: 3/30/2008 14:37:57 %For: geoff %BoundingBox: (atend) %Pages: (atend) %Orientation: Landscape %PageOrder: Special %DocumentNeededResources: (atend) %

  • 9 Pages sample_midterm
    Sample_midterm

    School: Toledo

    %!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: sample.dvi %Pages: 1 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSCommandLine: dvips sample.dvi -o sample.ps %DVIPSParameters: dpi=300, comment

  • 10 Pages assignment2
    Assignment2

    School: Toledo

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  • 1 Page ass1
    Ass1

    School: Toledo

    CSC2535 Winter 2006: ASSIGNMENT 1 The assignment consists of doing three of the exercises at the end of the chapter on neural networks by Chris Bishop. Exercise 7.1 (for 4 points) Exercise 7.3 (for 3 points) Exercise 7.5 (for 3 points)

  • 14 Pages emk
    Emk

    School: Toledo

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  • 46 Pages lec10
    Lec10

    School: Toledo

    CSC 2535: Computation in Neural Networks Lecture 10 Learning Deterministic Energy-Based Models Geoffrey Hinton A different kind of hidden structure Data is often characterized by saying which directions have high variance. But we can also capture s

  • 27 Pages lec8
    Lec8

    School: Toledo

    CSC 2535 Lecture 8 Products of Experts Geoffrey Hinton How to combine simple density models Suppose we want to build a model of a complicated data distribution by combining several simple models. What combination rule should we use? Mixture model

  • 24 Pages lec6a
    Lec6a

    School: Toledo

    CSC 2535 Winter 2006 Lecture 6a: Improving generalization by making the weights cheap to describe. Geoffrey Hinton Another kind of weight penalty Sometimes it works better to use a weight penalty that has negligible effect on large weights. 0 We c

  • 54 Pages lec3
    Lec3

    School: Toledo

    CSC2535: Lecture 3: Ways to make backpropagation generalize better, and ways to do without a supervision signal. Geoffrey Hinton Overfitting The training data contains information about the regularities in the mapping from input to output. But it a

  • 4 Pages assign1
    Assign1

    School: Toledo

    CSC2535 Assignment 1 Due: Feb 6, 2008, 11am at START of class January 25, 2008 Late assignments will have 25% subtracted from the total out of which they are graded for each day or part of a day that they are late. They will be more than one day late

  • 39 Pages lec2nomovies
    Lec2nomovies

    School: Toledo

    CSC2535 Lecture 2: Some examples of backpropagation learning Geoffrey Hinton Some Success Stories Back-propagation has been used for a large number of practical applications. Recognizing hand-written characters Predicting the future price of stoc

  • 11 Pages lec7
    Lec7

    School: Toledo

    CSC2535: Computation in Neural Networks Lecture 7: Independent Components Analysis Geoffrey Hinton Factor Analysis The generative model for factor analysis assumes that the data was produced in three stages: Pick values independently for some hid

  • 12 Pages sfa
    Sfa

    School: Toledo

    Berkes, P. and Wiskott, L. (2003). Slow feature analysis yields a rich repertoire of complex cell properties. Cognitive Sciences EPrint Archive (CogPrints) 2804, http:/cogprints.ecs.soton.ac.uk/archive/00002804/ (<date of document download>). Slow f

  • 8 Pages chopra-05
    Chopra-05

    School: Toledo

    Learning a Similarity Metric Discriminatively, with Application to Face Verification Sumit Chopra Raia Hadsell Courant Institute of Mathematical Sciences New York University New York, NY, USA sumit, raia, yann @cs.nyu.edu Yann LeCun Abstract We pres

  • 49 Pages lec5
    Lec5

    School: Toledo

    CSC2535: Computation in Neural Networks Lecture 5: Free Energy and Variational Methods Geoffrey Hinton An apparently crazy idea Its hard to learn complicated models like Sigmoid Belief Nets because its hard to infer (or sample from) the posterior

  • 11 Pages lec9extra
    Lec9extra

    School: Toledo

    CSC 2535: Computation in Neural Networks Lecture 9 (extra material) Geoffrey Hinton Reminder: Why greedy learning works The weights, W, in the bottom level RBM define p(v|h1) and they also, indirectly, define p(h1). So we can express the RBM model

  • 55 Pages lec1
    Lec1

    School: Toledo

    CSC2535: Computation in Neural Networks Lecture 1: The history of neural networks Geoffrey Hinton All lecture slides are available as .ppt, .ps, & .htm at www.cs.toronto.edu/~hinton Why study neural computation? The motivation is that the brain c

  • 4 Pages assign2
    Assign2

    School: Toledo

    CSC2535 Assignment 2 Due Feb 27, 1.00pm at START of class Iain Murray, Geoffrey Hinton and Ruslan Salakhutdinov February 14, 2008 Late assignments will have 25% subtracted from the total out of which they are graded for each day or part of a day that

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