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Martin Heusel
Lives in Berlin
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Martin Heusel

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In the last few years, there have been incredible success applying Recurrent Neural Networks (RNNs) to a variety of problems, such as speech recognition, language modeling, translation, image captioning and more. 

Essential to these successes is the use of a very special kind of recurrent neural network architecture called Long Short Term Memory (LSTM), which accounts for long-term dependencies and relationships in data in order to produce amazing results. 

But what are LTSMs, and how do they work? In a blog post, linked below, Google intern +Christopher Olah gives an overview of LSTMs, explaining why and how they work so well. 
Recurrent Neural Networks. Humans don't start their thinking from scratch every second. As you read this essay, you understand each word based on your understanding of previous words. You don't throw everything away and start thinking from scratch again. Your thoughts have persistence.
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China, Russia and the U.S. are developing and testing controversial new capabilities to wage war in space despite their denial of such work
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The journal Nature just published a review paper on deep learning co-authored by myself, Yoshua Bengio​, and Geoff Hinton.

It is part of a "Nature Insight" supplement on Machine Intelligence, with two other articles on machine learning by Zoubin Ghahramani​ (probabilistic machines) and Michael Littman​ (reinforcement learning).

Paper: http://www.nature.com/nature/journal/v521/n7553/full/nature14539.html

Insight supplement on AI: http://www.nature.com/nature/journal/v521/n7553/index.html#insight
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Johannes Kepler University's work using neural networks running on GPUs has made it one of five finalists for NVIDIA's 2015 Global Impact Award.
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Deep learning has shown remarkable success on some of the world’s most difficult computer science challenges. Today on the Google Research blog we go into how Long Short-term Memory Recurrent Neural Networks (LSTM RNNs) are being used to improve Google Voice transcription. 
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New kernel release announcement, made from 30k feet, with Walter the Labradoodle sitting in the seat next to me and then falling asleep on my arm. (https://instagram.com/walterthelabradoodle/ )

3.10.81
3.14.45
4.0.6

Also, now that 4.1 is out, time to announce that it will be the next "Long Term Support" kernel I'll be maintaining for the next two years.
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Eine Schweizer Initiative fordert ein neues Geldsystem. Gut so!
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Japan, 〒930-1406 富山県中新川郡立山町芦峅寺
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