Abstract
Many supervised tasks in natural language processing, speech recognition, and automatic video analysis may soon become trivial through large RNNs. In the near future, both supervised learning RNNs and reinforcement learning will be greatly scaled up. Current large ANNs have on the order of a billion connections; soon that will be a trillion, at the same price. By comparison, human brains have a trillions of—much slower—connections.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsAuthor information
Authors and Affiliations
Rights and permissions
Copyright information
© 2018 Armando Vieira, Bernardete Ribeiro
About this chapter
Cite this chapter
Vieira, A., Ribeiro, B. (2018). New Research and Future Directions. In: Introduction to Deep Learning Business Applications for Developers. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3453-2_11
Download citation
DOI: https://doi.org/10.1007/978-1-4842-3453-2_11
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-3452-5
Online ISBN: 978-1-4842-3453-2
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)