Literature DB >> 30939301

Neural network models and deep learning.

Nikolaus Kriegeskorte1, Tal Golan2.   

Abstract

Originally inspired by neurobiology, deep neural network models have become a powerful tool of machine learning and artificial intelligence. They can approximate functions and dynamics by learning from examples. Here we give a brief introduction to neural network models and deep learning for biologists. We introduce feedforward and recurrent networks and explain the expressive power of this modeling framework and the backpropagation algorithm for setting the parameters. Finally, we consider how deep neural network models might help us understand brain computation.
Copyright © 2019. Published by Elsevier Ltd.

Mesh:

Year:  2019        PMID: 30939301     DOI: 10.1016/j.cub.2019.02.034

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  42 in total

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8.  Machine Learning for Predicting the 3-Year Risk of Incident Diabetes in Chinese Adults.

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Review 9.  Machine learning applications to enhance patient specific care for urologic surgery.

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10.  Application of deep learning in the detection of breast lesions with four different breast densities.

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