Review paper
An introduction to deep learning on biological sequence data: examples and solutions
Abstract
Deep neural network architectures such as convolutional and long short-term memory networks have become increasingly popular as machine learning tools during the recent years. The availability of greater computational resources, more data, new algorithms for training deep models and easy to use libraries for implementation and training of neural networks are the drivers of this development. The use of deep learning has been especially successful...
Paper Details
Title
An introduction to deep learning on biological sequence data: examples and solutions
Published Date
Aug 23, 2017
Journal
Volume
33
Issue
22
Pages
3685 - 3690
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