Archives for Attention Neural networks

16 Mar

Complete Guide to SDNet: Contextualized Attention-based Deep Network for Conversational Question-Answering

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image-20906

SDNet is a contextualized attention based deep neural network that achieved State of the Art results in the challenging task of Conversational Question Answering. It makes use of inter attention and self-attention along with Recurrent BIdirectional LSTM layers.

The post Complete Guide to SDNet: Contextualized Attention-based Deep Network for Conversational Question-Answering appeared first on Analytics India Magazine.

05 Mar

Microsoft Introduces Mathematical Framework To Tune Up Attention Architectures

Recently, Microsoft Research and the University of Montreal introduced a new mathematical framework that uses measure theory and integral operators to model attention architectures in neural networks. According to the researchers, the framework is proposed to quantify the regularity; in other words, the amount of smoothness of the attention operation.  The attention mechanism is the…

The post Microsoft Introduces Mathematical Framework To Tune Up Attention Architectures appeared first on Analytics India Magazine.

05 Mar

Microsoft Introduces Mathematical Framework To Tune Up Attention Architectures

Recently, Microsoft Research and the University of Montreal introduced a new mathematical framework that uses measure theory and integral operators to model attention architectures in neural networks. According to the researchers, the framework is proposed to quantify the regularity; in other words, the amount of smoothness of the attention operation.  The attention mechanism is the…

The post Microsoft Introduces Mathematical Framework To Tune Up Attention Architectures appeared first on Analytics India Magazine.