A new machine learning startup uses Maxout and Stochastic Pooling in their Pipeline

According to a recently published gigaOM article, a Denver based startup (AlchemyAPI) started to use Maxout [1] and Stochastic Pooling [2] in their object recognition pipeline. Using those deep learning techniques, they claim to deliver Google-level machine learning services.

[1] Goodfellow, I. J., Warde-Farley, D., Mirza, M., Courville, A., & Bengio, Y. , Proceedings of […]

Facebook is setting up a deep learning team

According to MIT Tech Review, Facebook is going to get into the deep learning band wagon as well in order to do semantic analysis on the facebook posts using deep learning techniques.

http://www.technologyreview.com/news/519411/facebook-launches-advanced-ai-effort-to-find-meaning-in-your-posts/

A paper on Pylearn2 is released

A paper about Pylearn2 and its architecture has been published on arXiv. It can be accessed via the following link: http://arxiv.org/pdf/1308.4214v1.pdf . If you use Pylearn2 in research publications, please cite this paper. An example bibtex entry is:

@ARTICLE{pylearn2_arxiv_2013, title={Pylearn2: a machine learning research library}, author={Ian J. Goodfellow and David Warde-Farley and Pascal Lamblin and […]