Backpropagation

Results: 468



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1

Backpropagation for a Linear Layer Justin Johnson April 19, 2017 In these notes we will explicitly derive the equations to use when backpropagating through a linear layer, using minibatches. During the forward pass, the

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Source URL: cs231n.stanford.edu

Language: English - Date: 2017-04-20 00:19:38
    2

    Backpropagation and Gradients Agenda ● ●

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    Source URL: cs231n.stanford.edu

    Language: English - Date: 2018-04-17 13:21:37
      3

      On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning Eiji Mizutani and Stuart Dreyfus Abstract— We present a simple, intuitive argument based on “inva

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      Source URL: www.comp.sd.tmu.ac.jp

      Language: English - Date: 2013-03-25 23:29:17
        4

        Backpropagation Through Time: What It Does and How to Do It PAUL J. WERBOS Backpropagation is now the most widely used tool in the field of artificial neural networks. At the core of backpropagation is a

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        Source URL: www.cs.cmu.edu

        - Date: 2013-09-09 12:05:45
          5

          arXiv:1605.07736v1 [cs.LG] 25 MayLearning Multiagent Communication with Backpropagation Sainbayar Sukhbaatar Dept. of Computer Science

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          Source URL: arxiv.org

          - Date: 2016-05-25 20:28:08
            6

            Derivation of Backpropagation 1 Introduction

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            Source URL: www.cs.swarthmore.edu

            - Date: 2010-01-22 14:20:20
              7

              Unsupervised Discovery of Non-Linear Structure using Contrastive Backpropagation G. E. Hinton, S. Osindero, M. Welling and Y. W. Teh Department of Computer Science University of Toronto Toronto, Canada M5S 3G4

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              Source URL: www.cs.toronto.edu

              - Date: 2006-05-13 12:04:56
                8

                Informatics 1 CG – Tutorial 2 Carina Silberer Week 3 The goal of this tutorial is to deepen your understanding of perceptrons and the backpropagation algorithm used for training multilayer perceptrons. Before working o

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                Source URL: www.inf.ed.ac.uk

                - Date: 2015-01-23 06:08:04
                  9Artificial neural networks / Cybernetics / Applied mathematics / Artificial intelligence / Deep learning / Convolutional neural network / Feature learning / Backpropagation / Autoencoder / Artificial neuron / Feedforward neural network

                  NCSU_SAS_SAM: Deep Encoding and Reconstruction for Normalization of Noisy Text Samuel P. Leeman-Munk James C. Lester Center for Educational Informatics North Carolina State University

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                  Source URL: noisy-text.github.io

                  Language: English - Date: 2016-08-14 21:11:09
                  10Artificial neural networks / Neuroscience / Languages of Europe / Applied mathematics / Neuron / Backpropagation / Grammatical number / Recurrent neural network / Grammatical gender / Bulgarian language / Delta rule

                  A Hybrid System for MorphoSyntactic Disambiguation in Bulgarian Kiril Iv. Simov and Petya N. Osenova y

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                  Source URL: bultreebank.org

                  Language: English - Date: 2003-12-07 15:22:49
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