A very important picture from a recent LeCun CVPR. Important for those, who want to study QA / Dialogue systems.

Deep residual networks from Microsoft Research Asia (MSRA).

https://github.com/KaimingHe/deep-residual-networks

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

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/

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

No, there is no dark magic in Deep Learning!

Now Google can understand pictures content

Pandas pivot table cheat sheet

You can try and apply for GPU donation by Facebook

https://research.facebook.com/blog/facebook-ai-research-partnership-program-application/

Nice machine learning framework in.. wait for it... RUST!

https://github.com/autumnai/leaf

IBM Watson launched image recognition - with a free trial to the paid service recognition and classification of images. http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/visual-recognition.html

Realtime mimic transfer for video

http://www.graphics.stanford.edu/~niessner/thies2016face.html

Now you can play with TF in your browsert.

HINT: try selecting only first 2 inputs for second data set and then add x1x2 as an input for the same dataset.

http://playground.tensorflow.org/#activation=tanh&batchSize=23&dataset=xor&regDataset=reg-plane&learningRate=0.03&regularizationRate=0&noise=0&networkShape=7,3,2&seed=0.01463&showTestData=false&discretize=false&percTrainData=40&x=true&y=true&xTimesY=false&xSquared=false&ySquared=true&cosX=false&sinX=false&cosY=false&sinY=false&collectStats=false&problem=classification

Numerai was featured in the Financial Times this morning.

AI hedge fund, Numer.ai raises $1.5m from cofounder of Renaissance Technologies

The story is top of r/finance, growing on r/MachineLearning, and on Hacker News. I'll personally be responding to comments on Reddit.

Richard
numer.ai