2016 - 版本历史

Shiying：/* DNN architecture */

2016-12-01T08:17:15Z

‎DNN architecture

Shiying：/* Visualization */

2016-12-01T08:14:59Z

‎Visualization

2016年11月28日 (一) 06:10 Tangzy

2016-11-28T06:10:44Z

Tangzy：/* Review */

2016-11-28T06:09:09Z

‎Review

2016年11月9日 (三) 01:43 Cslt

2016-11-09T01:43:47Z

2016年11月9日 (三) 01:43 Cslt

2016-11-09T01:43:30Z

2016年11月9日 (三) 01:05 Cslt

2016-11-09T01:05:59Z

2016年11月9日 (三) 01:04 Cslt

2016-11-09T01:04:48Z

2016年11月9日 (三) 01:04 Cslt

2016-11-09T01:04:16Z

显示更改

2016年11月9日 (三) 01:03 Cslt

2016-11-09T01:03:29Z

@@ 第8行： / 第8行： @@
 * [http://t.cn/RfZHxko MICRO 2016 ]
 * [[媒体文件:Cambricon-X.pdf| Cambricon-X: An Accelerator for Sparse Neural Networks]]
 ==Visualization==

@@ 第13行： / 第13行： @@
 * [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b9/Visualizing_and_Understanding_Genomic.pdf Visualizing and Understanding Genomic Sequences Using Deep Neural Networks]
 * [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/43/On_the_Role_of_Nonlinear_Transformations_in_Deep_Neural_Network_Acoustic_Models.PDF On the Role of Nonlinear Transformations in Deep Neural Network Acoustic Models]
+* [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f6/Understanding_intermediate_layers_using_linear_classifier_probes.pdf Understanding_intermediate_layers_using_linear_classifier_probes]
 ==Speaker recognition==

@@ 第21行： / 第21行： @@
-=Review=
+==Review==
 *[[媒体文件:Note icassp16.pdf|Zhiyuan Tang 20160520 - ICASSP 2016 summary ]]
 *[[媒体文件:Nn analysis.pdf  |Zhiyuan Tang 20160802 - Visualizing, Measuring and Understanding Neural Networks: A Brief Survey ]]
 *[[媒体文件:Interspeech16 review.pdf|Zhiyuan Tang 20161122 - INTERSPEECH 2016 summary ]]

←上一版本		2016年11月28日 (一) 06:09的版本
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	*[[媒体文件:Note icassp16.pdf\|Zhiyuan Tang 20160520 - ICASSP 2016 summary ]]		*[[媒体文件:Note icassp16.pdf\|Zhiyuan Tang 20160520 - ICASSP 2016 summary ]]
	*[[媒体文件:Nn analysis.pdf \|Zhiyuan Tang 20160802 - Visualizing, Measuring and Understanding Neural Networks: A Brief Survey ]]		*[[媒体文件:Nn analysis.pdf \|Zhiyuan Tang 20160802 - Visualizing, Measuring and Understanding Neural Networks: A Brief Survey ]]
		+	*[[媒体文件:Interspeech16 review.pdf\|Zhiyuan Tang 20161122 - INTERSPEECH 2016 summary ]]

@@ 第7行： / 第7行： @@
 * [http://www.isca-speech.org/archive/Interspeech_2016/pdfs/0515.pdf Wei-Ning Hsu et al. Exploiting Depth and Highway Connections in Convolutional Recurrent Deep Neural Networks for Speech Recognition]
 * [http://t.cn/RfZHxko MICRO 2016 ]
-* [[媒体文件:Cambricon-X.pdf Cambricon-X: An Accelerator for Sparse Neural Networks]]
+* [[媒体文件:Cambricon-X.pdf| Cambricon-X: An Accelerator for Sparse Neural Networks]]
 ==Visualization==

@@ 第6行： / 第6行： @@
 * [https://arxiv.org/pdf/1512.03385v1.pdf Kaiming He et al. Deep Residual Learning for Image Recognition]
 * [http://www.isca-speech.org/archive/Interspeech_2016/pdfs/0515.pdf Wei-Ning Hsu et al. Exploiting Depth and Highway Connections in Convolutional Recurrent Deep Neural Networks for Speech Recognition]
+* [http://t.cn/RfZHxko MICRO 2016 sparse NN accelerator]
 ==Visualization==

@@ 第1行： / 第1行： @@
 ==DNN architecture==
-[http://www.isca-speech.org/archive/Interspeech_2016/pdfs/1446.pdf Ying Zhang et al. Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks]
+* [http://www.isca-speech.org/archive/Interspeech_2016/pdfs/1446.pdf Ying Zhang et al. Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks]
+* [[媒体文件:OUTRAGEOUSLYLARGENEURALNETWORKSTHESPARSELY-GATEDMIXTURE-OF-EXPERTSLAYER.pdf|ICLR2017: OUTRAGEOUSLY LARGE NEURAL NETWORKS: THE SPARSELY-GATED MIXTURE-OF-EXPERTS LAYER]]
-[[媒体文件:OUTRAGEOUSLYLARGENEURALNETWORKSTHESPARSELY-GATEDMIXTURE-OF-EXPERTSLAYER.pdf|ICLR2017: OUTRAGEOUSLY LARGE NEURAL NETWORKS: THE SPARSELY-GATED MIXTURE-OF-EXPERTS LAYER]]
+* [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/fb/LightRNN.pdf lightRNN from microsoft]
+* [https://arxiv.org/pdf/1512.03385v1.pdf Kaiming He et al. Deep Residual Learning for Image Recognition]
-[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/fb/LightRNN.pdf lightRNN from microsoft]
+* [http://www.isca-speech.org/archive/Interspeech_2016/pdfs/0515.pdf Wei-Ning Hsu et al. Exploiting Depth and Highway Connections in Convolutional Recurrent Deep Neural Networks for Speech Recognition]
-−
 [https://arxiv.org/pdf/1512.03385v1.pdf Kaiming He et al. Deep Residual Learning for Image Recognition]
-−
 [http://www.isca-speech.org/archive/Interspeech_2016/pdfs/0515.pdf Wei-Ning Hsu et al. Exploiting Depth and Highway Connections in Convolutional Recurrent Deep Neural Networks for Speech Recognition]
 ==Visualization==
-[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b9/Visualizing_and_Understanding_Genomic.pdf Visualizing and Understanding Genomic Sequences Using Deep Neural Networks]
+* [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b9/Visualizing_and_Understanding_Genomic.pdf Visualizing and Understanding Genomic Sequences Using Deep Neural Networks]
+* [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/43/On_the_Role_of_Nonlinear_Transformations_in_Deep_Neural_Network_Acoustic_Models.PDF On the Role of Nonlinear Transformations in Deep Neural Network Acoustic Models]
 [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/43/On_the_Role_of_Nonlinear_Transformations_in_Deep_Neural_Network_Acoustic_Models.PDF On the Role of Nonlinear Transformations in Deep Neural Network Acoustic Models]
 ==Speaker recognition==
-[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/1b/RedDots.rar# INTERSPEECH 2016 Fri-O-2-2 :Special Session: The RedDots Challenge: Towards Characterizing Speakers from Short Utterances]
+* [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/1b/RedDots.rar# INTERSPEECH 2016 Fri-O-2-2 :Special Session: The RedDots Challenge: Towards Characterizing Speakers from Short Utterances]
+* [http://192.168.0.51:8888/2016/interspeech2016/WELCOME.html# INTERSPEECH 2016 Fri-O-3-2 : Special Session: The Speakers in the Wild (SITW) Speaker Recognition Challenge]
 [http://192.168.0.51:8888/2016/interspeech2016/WELCOME.html# INTERSPEECH 2016 Fri-O-3-2 : Special Session: The Speakers in the Wild (SITW) Speaker Recognition Challenge]

←上一版本	2016年11月9日 (三) 01:03的版本
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	+	Speaker recognition:
	+
	+	[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/1b/RedDots.rar# INTERSPEECH 2016 Fri-O-2-2 :Special Session: The RedDots Challenge: Towards Characterizing Speakers from Short Utterances]