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Dominik Andreas
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108 followers
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Coloured shots 

#mate9 #leica #huawei #photography
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08/12/2016
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Black and White shots 

#mate9 #leica #huawei #photography
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08/12/2016
15 Photos - View album

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Great post by Yarin Gal about encorporating uncertainty in deep learning models

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Boston Dynamics present their next generation of the humanoid robot "Atlas". It weighs about 80kg and moves using 3D laser scanning (LIDAR) and balances using multiple sensors in body and legs. Incredible work, especially considering the robustness of the movements!

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Notes from Hugo Larochelle on Knowledge Transfer Learning: Optimization of larger neural networks using smaller ones for initialization. This could enable neural networks to grow over years of training and adapt to previously unseen input over time.

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Very interesting talk about robot swarms and how their simple design can be applied to nanomedicine

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awesome stuff

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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. 
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