EAN: 9789819902781

SPRINGERBRIEFS IN COMPUTER SCIENCE DEEP COGNI...

Although deep learning models have achieved great progress in vision  speech  language 
planning  control  and many other areas  there still exists a large performance gap between
deep learning models and the human cognitive system. Many researchers argue that one of the
major reasons accounting for the performance gap is that deep learning models and the human
cognitive system process visual information in very different ways. To mimic the performance
gap  since 2014  there has been a trend to model various cognitive mechanisms from cognitive
neuroscience  e.g.  attention  memory  reasoning  and decision  based on deep learning models.
This book unifies these new kinds of deep learning models and calls them deep cognitive
networks  which model various human cognitive mechanisms based on deep learning models. As a
result  various cognitive functions are implemented  e.g.  selective extraction  knowledge
reuse  and problem solving  for more effective information processing. This book first
summarizes existing evidence of human cognitive mechanism modeling from cognitive psychology
and proposes a general framework of deep cognitive networks that jointly considers multiple
cognitive mechanisms. Then  it analyzes related works and focuses primarily but not exclusively
on the taxonomy of four key cognitive mechanisms (i.e.  attention  memory  reasoning  and
decision) surrounding deep cognitive networks. Finally  this book studies two representative
cases of applying deep cognitive networks to the task of image-text matching and discusses
important future directions.

Aktuelle Preise zur EAN 9789819902781

Produktinformationen zur 9789819902781