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12 December 2015
- 17:5017:50, 12 December 2015 diff hist 0 File:Q2.png uploaded a new version of "File:Q2.png" current
- 17:4717:47, 12 December 2015 diff hist −454 a fast learning algorithm for deep belief nets →Performance on MNIST
- 17:4617:46, 12 December 2015 diff hist +1,511 a fast learning algorithm for deep belief nets →Performance on MNIST
- 17:3217:32, 12 December 2015 diff hist +542 a fast learning algorithm for deep belief nets No edit summary
- 17:3117:31, 12 December 2015 diff hist 0 File:Q1.png uploaded a new version of "File:Q1.png"
22 November 2015
- 15:2515:25, 22 November 2015 diff hist +84 imageNet Classification with Deep Convolutional Neural Networks →Results
- 15:2415:24, 22 November 2015 diff hist 0 N File:Tt3.png No edit summary current
- 15:2315:23, 22 November 2015 diff hist +239 imageNet Classification with Deep Convolutional Neural Networks →Results
- 15:2215:22, 22 November 2015 diff hist +1 imageNet Classification with Deep Convolutional Neural Networks →Results
- 15:2215:22, 22 November 2015 diff hist +96 imageNet Classification with Deep Convolutional Neural Networks →Results
- 15:2215:22, 22 November 2015 diff hist +59 imageNet Classification with Deep Convolutional Neural Networks →Results
- 15:2115:21, 22 November 2015 diff hist 0 N File:Tt1.png No edit summary current
- 15:1915:19, 22 November 2015 diff hist +66 imageNet Classification with Deep Convolutional Neural Networks →Results
- 15:1915:19, 22 November 2015 diff hist 0 N File:Figg3.png No edit summary current
- 15:1715:17, 22 November 2015 diff hist +678 imageNet Classification with Deep Convolutional Neural Networks →Details of leaning
- 15:1115:11, 22 November 2015 diff hist −3 imageNet Classification with Deep Convolutional Neural Networks →Data Augmentation
- 15:1115:11, 22 November 2015 diff hist +425 imageNet Classification with Deep Convolutional Neural Networks →Data Augmentation
- 15:1115:11, 22 November 2015 diff hist 0 File:Fig2.png uploaded a new version of "File:Fig2.png"
- 15:0515:05, 22 November 2015 diff hist +838 imageNet Classification with Deep Convolutional Neural Networks →ReLU Nonlinearity
- 15:0315:03, 22 November 2015 diff hist 0 File:Fig1.png uploaded a new version of "File:Fig1.png"
- 14:5914:59, 22 November 2015 diff hist +736 learning Fast Approximations of Sparse Coding No edit summary
- 14:5714:57, 22 November 2015 diff hist +461 learning Fast Approximations of Sparse Coding →MNIST Digits
- 14:5614:56, 22 November 2015 diff hist 0 N File:T2.png No edit summary current
- 14:5614:56, 22 November 2015 diff hist 0 N File:T1.png No edit summary current
- 14:5414:54, 22 November 2015 diff hist +551 learning Fast Approximations of Sparse Coding →MNIST Digits
- 14:2014:20, 22 November 2015 diff hist +2 learning Fast Approximations of Sparse Coding →Learned ISTA & Learned Coordinate Descent
- 14:1614:16, 22 November 2015 diff hist +64 learning Fast Approximations of Sparse Coding →Learned ISTA & Learned Coordinate Descent
- 14:1514:15, 22 November 2015 diff hist 0 N File:Q12.png No edit summary current
- 14:1314:13, 22 November 2015 diff hist +3,537 learning Fast Approximations of Sparse Coding No edit summary
- 13:5713:57, 22 November 2015 diff hist +575 strategies for Training Large Scale Neural Network Language Models →C. Reduction of vocabulary
- 13:5413:54, 22 November 2015 diff hist +320 strategies for Training Large Scale Neural Network Language Models →B. Reduction of number of training tokens
- 13:5213:52, 22 November 2015 diff hist +170 strategies for Training Large Scale Neural Network Language Models →A. Reduction of training epochs
- 13:4213:42, 22 November 2015 diff hist +148 strategies for Training Large Scale Neural Network Language Models →Motivation
- 13:3713:37, 22 November 2015 diff hist +365 strategies for Training Large Scale Neural Network Language Models →Model description
- 13:3313:33, 22 November 2015 diff hist +187 strategies for Training Large Scale Neural Network Language Models →Maximum Entropy model
- 13:2713:27, 22 November 2015 diff hist +191 strategies for Training Large Scale Neural Network Language Models →Introduction
17 November 2015
- 20:3120:31, 17 November 2015 diff hist +17 extracting and Composing Robust Features with Denoising Autoencoders No edit summary
- 20:3020:30, 17 November 2015 diff hist +4,618 extracting and Composing Robust Features with Denoising Autoencoders No edit summary
- 20:2420:24, 17 November 2015 diff hist +1,551 extracting and Composing Robust Features with Denoising Autoencoders No edit summary
- 20:2320:23, 17 November 2015 diff hist 0 N File:Qq3.png No edit summary current
- 20:1820:18, 17 November 2015 diff hist 0 N File:Qq2.png No edit summary current
- 20:1820:18, 17 November 2015 diff hist 0 N File:Qq1.png No edit summary
- 01:0201:02, 17 November 2015 diff hist 0 extracting and Composing Robust Features with Denoising Autoencoders No edit summary
- 01:0101:01, 17 November 2015 diff hist +3,584 N extracting and Composing Robust Features with Denoising Autoencoders Created page with "= Introduction = This Paper explores a new training principle for unsupervised learning of a representation based on the idea of making the learned representations robust to part..."
- 00:5900:59, 17 November 2015 diff hist 0 N File:Q4.png No edit summary
- 00:3800:38, 17 November 2015 diff hist 0 N File:Q3.png No edit summary
- 00:3700:37, 17 November 2015 diff hist 0 N File:Q2.png No edit summary
- 00:3500:35, 17 November 2015 diff hist 0 N File:Q1.png No edit summary
16 November 2015
- 16:1716:17, 16 November 2015 diff hist +274 f15Stat946PaperSignUp No edit summary
12 November 2015
- 22:2022:20, 12 November 2015 diff hist +1,537 graves et al., Speech recognition with deep recurrent neural networks No edit summary