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Recurrent Neural Network Language Models

Recurrent Neural Network Language Models

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Recurrent Neural Network Language Models | rnnlm.org Reviews

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Recurrent Neural Network Language Models

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deliprao.com deliprao.com

A Billion Words and The Limits of Language Modeling | Delip Rao

http://deliprao.com/archives/201

A Billion Words and The Limits of Language Modeling. September 23, 2016. In this post, I will talk about Language Models, when (and when not) to use LSTMs for language modeling, and some state of the art results. While I mostly discuss the “ Exploring Limits. One can say the ImageNet. I eat my soup with. And your LM completes this partial sentence with:. 1 “a spoon” — you could hallucinate that your LM is doing semantic understanding. 2 “a pillow” — that’s semantically garbage&#46...3 “my mind&#822...

wordvectors.org wordvectors.org

WordVec Demo

http://www.wordvectors.org/demo.php

Step 1: Choose Pre-trained Vector. Turian et al, 2010. Collobert et al, 2011. Mikolov et al, 2011. Mikolov et al, 2011. Huang et al, 2012. Mikolov et al 2013. Faruqui and Dyer, 2014. Step 2: Plot Your Words. Word Pair Similarity Ranking. Finkelstein et. al, 2002. Agirre et. al, 2009. Agirre et. al, 2009. Miller and Charles, 1930. R and G, 1965. Luong et. al, 2013. Bruni et. al, 2012. Radinsky et. al, 2011. Halawi and Dror, 2012. Yang and Powers, 2006. Hill et. al, 2014. Baker et. al, 2014.

wordvectors.org wordvectors.org

WordVec Demo

http://www.wordvectors.org/comp.php

Choose Any Two Vectors. Turian et al, 2010. Collobert et al, 2011. Mikolov et al, 2011. Mikolov et al, 2011. Huang et al, 2012. Mikolov et al 2013. Faruqui and Dyer, 2014. Word Pair Similarity Ranking. Finkelstein et. al, 2002. Agirre et. al, 2009. Agirre et. al, 2009. Miller and Charles, 1991. R and G, 1965. Luong et. al, 2013. Bruni et. al, 2012. Radinsky et. al, 2011. Halawi and Dror, 2012. Yang and Powers, 2006. Hill et. al, 2014. Baker et. al, 2014.

marekrei.com marekrei.com

Marek Rei - Thoughts on Machine Learning and Natural Language Processing

http://www.marekrei.com/blog

Thoughts on Machine Learning and Natural Language Processing. June 30, 2016. Analysing NLP publication patterns. Recently, I got curious about finding out how much different institutions publish in my area. Does Google publish more than Microsoft? Which university has the strongest publication record in NLP? And are there any interesting trends that can be seen in the recent years? Luckily, all these conferences have nice webpages listing all the papers published there. ACL Anthology. Carnegie Mellon has...

karpathy.github.io karpathy.github.io

The Unreasonable Effectiveness of Recurrent Neural Networks

http://karpathy.github.io/2015/05/21/rnn-effectiveness

Hacker's guide to Neural Networks. The Unreasonable Effectiveness of Recurrent Neural Networks. May 21, 2015. There’s something magical about Recurrent Neural Networks (RNNs). I still remember when I trained my first recurrent network for Image Captioning. We’ll train RNNs to generate text character by character and ponder the question how is that even possible? By the way, together with this post I am also releasing code on Github. Depending on your background you might be wondering:. Sequence input (e&...

ntddk.github.io ntddk.github.io

Tag: neural network | 一生あとで読んでろ

http://ntddk.github.io/tags/neural-network

14114555] Show and Tell: A Neural Image Caption Generator. Apple2373/chainer caption generation: Caption generation from images using deep neural net. を VGG ILSVRC 19 layers. はじめは論文通りの活性化関数と勾配法を試してみたが,dsanno氏のいうようにSGDよりAdamの方が高速 MomentumSGDと比べてもみたが即Adam最高 という気分にさせられた AdamがそもそもAdaGradとRMSPropのいいとこどりらしいので,その両者は試していない なおネットワーク構成は論文のまま. は数式が追いにくい どっちもどっちだが 上,深層学習以前と以後でどのような変遷があったのか不明瞭で, 進化計算と深層学習. 臨時別冊数理科学 SGCライブラリ 60 計算神経科学への招待 脳の学習機構の理解を目指して 2007年 12月号. の 大脳皮質と deep learning の類似点と相違点. 上図において隠れ層のベクトルは単語の潜在ベ...

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Recurrent Neural Network Language Models

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