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Deep learning methods are able to automatically discover better representations of the data to improve the performance of the classifiers. However, in computer vision tasks, such as the gender recognition problem, sometimes it is difficult to directly learn from the entire image. In this work we propose a new model called Local Deep Neural Network (Local-DNN), which is based on two key concepts: local features and deep architectures. The model learns from small overlapping regions in the visual field using discriminative feed-forward networks with several layers. We evaluate our approach on two well-known gender benchmarks, showing that our Local-DNN outperforms other deep learning methods also evaluated and obtains state-of-the-art results in both benchmarks.

http://www.sciencedirect.com/science/article/pii/S0167865515004018

19.7K views22:40

Data Science by ODS.ai 🦜

New Deep Mind team breakthrough — system is able to navigate through Doom

https://www.newscientist.com/article/2076552-google-deepmind-ai-navigates-a-doom-like-3d-maze-just-by-looking/

New Scientist

Google DeepMind AI navigates a <em>Doom</em>-like 3D maze just by looking

The artificial intelligence firm has come up with a computer learning technique that requires less processing power, allowing it to reach new heights

2.49K views11:24

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http://www.nanalyze.com/2016/02/enlitic-deep-learning-algorithms-for-medical-imaging/

Nanalyze

Enlitic: Deep Learning Algorithms for Medical Imaging - Nanalyze

One startup called Enlitic is using deep learning to automatically screen for hundreds of specific diseases within your medical imaging data. We dig deeper.

3.66K views18:48

Data Science by ODS.ai 🦜

NVidia Released cuDNN v.4.0.

Though we do not recommend to use it right away, especially on macs, since running bleeding edge can result in great pain for the developer. But be aware, that cuDNN 4.0 is now awailable

2.57K views10:27

Data Science by ODS.ai 🦜

❤1

2.45K views10:54

Data Science by ODS.ai 🦜

https://github.com/billzorn/mtg-rnn

GitHub

GitHub - billzorn/mtg-rnn: Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch.…

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Custom modifications to allow better support for Magic: the Gathering card generation. - billzor...

2.47K views22:15

Data Science by ODS.ai 🦜

No, there is no dark magic in Deep Learning!