User contributions for Arashwan

16 December 2015

• 15:0215:02, 16 December 2015 diff hist −1‎ deep Generative Stochastic Networks Trainable by Backprop ‎No edit summary
• 14:5814:58, 16 December 2015 diff hist +43‎ deep Sparse Rectifier Neural Networks ‎ →‎Introduction
• 14:0814:08, 16 December 2015 diff hist +319‎ on using very large target vocabulary for neural machine translation ‎ →‎Overview
• 13:4913:49, 16 December 2015 diff hist +39‎ very Deep Convoloutional Networks for Large-Scale Image Recognition ‎ →‎Conv.Net Configurations
• 13:4113:41, 16 December 2015 diff hist +99‎ very Deep Convoloutional Networks for Large-Scale Image Recognition ‎ →‎Conv.Net Configurations
• 12:2812:28, 16 December 2015 diff hist +352‎ extracting and Composing Robust Features with Denoising Autoencoders ‎ →‎The Denoising Autoencoder
• 12:1812:18, 16 December 2015 diff hist +55‎ extracting and Composing Robust Features with Denoising Autoencoders ‎ →‎The Denoising Autoencoder
• 12:1612:16, 16 December 2015 diff hist −224‎ extracting and Composing Robust Features with Denoising Autoencoders ‎ →‎The Denoising Autoencoder

19 November 2015

• 15:5815:58, 19 November 2015 diff hist +205‎ dropout ‎ →‎Model
• 15:4415:44, 19 November 2015 diff hist +53‎ dropout ‎ →‎Model
• 15:1815:18, 19 November 2015 diff hist +34‎ dropout ‎ →‎Introduction

18 November 2015

• 12:4812:48, 18 November 2015 diff hist +624‎ proposal for STAT946 (Deep Learning) final projects Fall 2015 ‎No edit summary

17 November 2015

• 17:0317:03, 17 November 2015 diff hist +547‎ deep Convolutional Neural Networks For LVCSR ‎ →‎Switchboard
• 16:5916:59, 17 November 2015 diff hist +282‎ deep Convolutional Neural Networks For LVCSR ‎ →‎Broadcast News
• 16:5216:52, 17 November 2015 diff hist +22‎ deep Convolutional Neural Networks For LVCSR ‎No edit summary
• 16:5116:51, 17 November 2015 diff hist +368‎ deep Convolutional Neural Networks For LVCSR ‎ →‎Conclusions and Discussions
• 16:4616:46, 17 November 2015 diff hist +206‎ deep Convolutional Neural Networks For LVCSR ‎ →‎Conclusions and Discussions
• 16:4516:45, 17 November 2015 diff hist +419‎ deep Convolutional Neural Networks For LVCSR ‎No edit summary
• 16:3916:39, 17 November 2015 diff hist +68‎ deep Convolutional Neural Networks For LVCSR ‎ →‎Conclusions and Discussions
• 16:3916:39, 17 November 2015 diff hist +132‎ deep Convolutional Neural Networks For LVCSR ‎ →‎Conclusions and Discussions
• 16:1916:19, 17 November 2015 diff hist +999‎ deep Convolutional Neural Networks For LVCSR ‎ →‎Results with Proposed Architecture
• 15:2215:22, 17 November 2015 diff hist +55‎ deep Convolutional Neural Networks For LVCSR ‎No edit summary

16 November 2015

• 22:3822:38, 16 November 2015 diff hist +390‎ deep Convolutional Neural Networks For LVCSR ‎ →‎Optimal Feature Set
• 22:3122:31, 16 November 2015 diff hist +274‎ deep Convolutional Neural Networks For LVCSR ‎No edit summary
• 22:2122:21, 16 November 2015 diff hist +646‎ deep Convolutional Neural Networks For LVCSR ‎No edit summary
• 22:1022:10, 16 November 2015 diff hist +877‎ deep Convolutional Neural Networks For LVCSR ‎ →‎Number of Hidden Units
• 21:4821:48, 16 November 2015 diff hist −55‎ deep Convolutional Neural Networks For LVCSR ‎ →‎Number of Convolutional vs. Fully Connected Layers
• 21:4721:47, 16 November 2015 diff hist +959‎ deep Convolutional Neural Networks For LVCSR ‎ →‎Number of Convolutional vs. Fully Connected Layers
• 21:1021:10, 16 November 2015 diff hist +771‎ deep Convolutional Neural Networks For LVCSR ‎ →‎CNN Architecture
• 21:0221:02, 16 November 2015 diff hist +29‎ N File:Convnets.png ‎ convolutional neural networks current
• 14:3114:31, 16 November 2015 diff hist +2,208‎ deep Convolutional Neural Networks For LVCSR ‎ →‎Introduction
• 10:5710:57, 16 November 2015 diff hist +284‎ N deep Convolutional Neural Networks For LVCSR ‎ Created page with "= Introduction = = CNN Architecture = == Experimental Setup == == Number of Convolutional vs. Fully Connected Layers == == Number of Hidden Units == == Optimal Feature Set =..."

11 November 2015

• 12:4412:44, 11 November 2015 diff hist −15‎ deep neural networks for acoustic modeling in speech recognition ‎ →‎Summary for the Main Results for DNN Acoustic Models on Large Data Sets

10 November 2015

• 12:5212:52, 10 November 2015 diff hist +3‎ graves et al., Speech recognition with deep recurrent neural networks ‎No edit summary
• 12:5112:51, 10 November 2015 diff hist +3‎ graves et al., Speech recognition with deep recurrent neural networks ‎ →‎Overview
• 12:4112:41, 10 November 2015 diff hist +7‎ graves et al., Speech recognition with deep recurrent neural networks ‎ →‎Motivation
• 11:2811:28, 10 November 2015 diff hist +1‎ deep neural networks for acoustic modeling in speech recognition ‎ →‎Fine-Tuning DNNs To Optimize Mutual Information

9 November 2015

• 12:3112:31, 9 November 2015 diff hist +3‎ f15Stat946PaperSignUp ‎ →‎Set B
• 12:3112:31, 9 November 2015 diff hist +198‎ f15Stat946PaperSignUp ‎ →‎Set B

6 November 2015

• 13:2613:26, 6 November 2015 diff hist +680‎ deep neural networks for acoustic modeling in speech recognition ‎ →‎Training Deep Neural Networks

5 November 2015

• 16:3616:36, 5 November 2015 diff hist +1,321‎ deep neural networks for acoustic modeling in speech recognition ‎ →‎Conclusions and Discussions
• 12:3912:39, 5 November 2015 diff hist +878‎ deep neural networks for acoustic modeling in speech recognition ‎ →‎Alternative Pretraining Methods for DNNs
• 12:3012:30, 5 November 2015 diff hist 0‎ deep neural networks for acoustic modeling in speech recognition ‎ →‎Convolutional DNNs for Phone Classification and Recognition
• 12:2712:27, 5 November 2015 diff hist +1,178‎ deep neural networks for acoustic modeling in speech recognition ‎ →‎Convolutional DNNs for Phone Classification and Recognition
• 11:5911:59, 5 November 2015 diff hist +800‎ deep neural networks for acoustic modeling in speech recognition ‎ →‎English Broadcast News Speech Recognition Task
• 11:2911:29, 5 November 2015 diff hist +1‎ deep neural networks for acoustic modeling in speech recognition ‎ →‎Summary for the Main Results for DNN Acoustic Models on Large Data Sets

4 November 2015

• 16:5416:54, 4 November 2015 diff hist +150‎ deep neural networks for acoustic modeling in speech recognition ‎ →‎Summary for the Main Results for DNN Acoustic Models on Large Data Sets
• 16:5216:52, 4 November 2015 diff hist 0‎ deep neural networks for acoustic modeling in speech recognition ‎ →‎Summary for the Main Results for DNN Acoustic Models on Large Data Sets
• 16:5116:51, 4 November 2015 diff hist −112‎ deep neural networks for acoustic modeling in speech recognition ‎ →‎Summary for the Main Results for DNN Acoustic Models on Large Data Sets
• 16:5016:50, 4 November 2015 diff hist +697‎ deep neural networks for acoustic modeling in speech recognition ‎ →‎DNN for Large-Vocabulary Speech Recognition