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 the 30th International Conference on Machine Learning (ICML’13), in: Proceedings of the 30th International Conference on Machine Learning (ICML’13), ACM.

[2] Zeiler, Matthew D., and Rob Fergus. “Stochastic pooling for regularization of deep convolutional neural networks.” ICLR (2013).

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