yerevann.github.io

YerevaNN · Blog on neural networks

Blog on neural networks. Announcing YerevaNN non-profit foundation. Sentence representations and question answering (slides). The success of neural word embedding models like word2vec. Motivated research on representing sentences in an n-dimensional space. Michael Manukyan. Reviewed several sentence representation algorithms and their applications in state-of-the-art automated question answering. To get the latest slides from YerevaNN. Automatic transliteration with LSTM. And got 95% accuracy. After ...

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YerevaNN · Blog on neural networks | yerevann.github.io Reviews

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Blog on neural networks. Announcing YerevaNN non-profit foundation. Sentence representations and question answering (slides). The success of neural word embedding models like word2vec. Motivated research on representing sentences in an n-dimensional space. Michael Manukyan. Reviewed several sentence representation algorithms and their applications in state-of-the-art automated question answering. To get the latest slides from YerevaNN. Automatic transliteration with LSTM. And got 95% accuracy. After ...

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1 yerevann

2 and glove

3 and hrayr harutyunyan

4 by tigran galstyan

5 hrayr harutyunyan

6 and hrant khachatrian

7 for more languages

8 by hrayr harutyunyan

9 older

10 newer

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YerevaNN · Blog on neural networks | yerevann.github.io Reviews

https://yerevann.github.io

Blog on neural networks. Announcing YerevaNN non-profit foundation. Sentence representations and question answering (slides). The success of neural word embedding models like word2vec. Motivated research on representing sentences in an n-dimensional space. Michael Manukyan. Reviewed several sentence representation algorithms and their applications in state-of-the-art automated question answering. To get the latest slides from YerevaNN. Automatic transliteration with LSTM. And got 95% accuracy. After ...

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yerevann.github.io

1

Playground for bAbI tasks · YerevaNN

http://yerevann.github.io/2016/02/23/playground-for-babi-tasks

Blog on neural networks. Playground for bAbI tasks. Recently we have implemented. Dynamic memory networks in Theano and trained it on Facebook’s bAbI tasks which are designed for testing basic reasoning abilities. Our implementation now solves 8 out of 20 bAbI tasks which is still behind state-of-the-art. Today we release a web application. For testing and comparing several network architectures and pretrained models. Visualizing Dynamic memory networks. Which are finally combined into a. Is the question,.

2

Automatic transliteration with LSTM · YerevaNN

http://yerevann.github.io/2016/09/09/automatic-transliteration-with-lstm

Blog on neural networks. Automatic transliteration with LSTM. Source of the data. Filtering out large non-Armenian chunks. Bidirectional LSTM with residual-like connections. Have been developed, but even those who knew how to write in Armenian characters, were not sure that the readers (r.g. the recipient of the email) would be able to read that. Armenian alphabet in the Unicode space. Source: Wikipedia. In the Unicode era all major OSes started to support displaying Armenian characters. The result was t...

3

YerevaNN · Blog on neural networks

http://yerevann.github.io/page2

Blog on neural networks. Implementing Dynamic memory networks. The Allen Institute for Artificial Intelligence has organized a 4 month contest. In Kaggle on question answering. The aim is to create a system which can correctly answer the questions from the 8th grade science exams of US schools (biology, chemistry, physics etc.). DeepHack Lab organized a scientific school hackathon. Generating Constitution with recurrent neural networks. Few months ago Andrej Karpathy. Wrote a great blog post. To identify...

4

Combining CNN and RNN for spoken language identification · YerevaNN

http://yerevann.github.io/2016/06/26/combining-cnn-and-rnn-for-spoken-language-identification

Blog on neural networks. Combining CNN and RNN for spoken language identification. Last year Hrayr used convolutional networks to identify spoken language. From short audio recordings for a TopCoder contest. And got 95% accuracy. After the end of the contest we decided to try recurrent neural networks and their combinations with CNNs on the same task. The best combination allowed to reach 99.24% and an ensemble of 33 models reached 99.67%. This work became Hrayr’s bachelor’s thesis. We have tested severa...

5

Spoken language identification with deep convolutional networks · YerevaNN

http://yerevann.github.io/2015/10/11/spoken-language-identification-with-deep-convolutional-networks

Blog on neural networks. Spoken language identification with deep convolutional networks. To identify the spoken language in audio recordings. I decided to test how well deep convolutional networks will perform on this kind of data. In short I managed to get around 95% accuracy and finished at the 10th place. This post reveals all the details. What we learned from this contest. The recordings were in one of the 176 languages. Training set consisted of 66176. Test set consisted of 12320. I entered the con...

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Machine learning made easy. A couple of pages we occasionaly read:. GitHub meets Arxiv, or machine learning papers with code. Heavy focus on deep learning. An Armenian blog on neural networks. Delip Rao recently started blogging, looks good so far. Https:/ jmetzen.github.io. Jan Hendrik Metzen has a blog on machine learning and python. We posit that you’re gonna like it. Http:/ www.inference.vc. Ferenc Huszar explains some deep learning papers he liked. Https:/ jakevdp.github.io/. Paul Mineiro, at. It an...

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YerevaNN

YerevaNN is a non-profit computer science and mathematics research lab based in Yerevan, Armenia. Currently our main focus is to study and improve various machine learning algorithms. The main topics of our research include:. Automated question answering using deep learning. Representation learning with generative models. Time series prediction on medical data. Natural language processing on Armenian content. All our results are publicised in our blog. And source codes are available on our GitHub page.

yerevann.github.io

YerevaNN · Blog on neural networks

Blog on neural networks. Announcing YerevaNN non-profit foundation. Sentence representations and question answering (slides). The success of neural word embedding models like word2vec. Motivated research on representing sentences in an n-dimensional space. Michael Manukyan. Reviewed several sentence representation algorithms and their applications in state-of-the-art automated question answering. To get the latest slides from YerevaNN. Automatic transliteration with LSTM. And got 95% accuracy. After ...

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Yerevan ("Երևան" in Armenian. Former names include Erivan and ancient name Erebuni; sometimes mistakenly written in Russian transliteration as Erevan) (population: 1,201,539 (1989 census); 1,088,300 (2004 estimate) is the largest city and capital of Armenia. It is situated along the Hrazdan River, which is not navigable, on the Ararat Plain. Archaeological evidence indicates that a military fortress called Erebuni (Էրեբունի) stood on Yerevan's site as far back as the 8th century BC. Since then the si...

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