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Synapse
September 1, 2016International Journal of Semantic Computing316 citations

Deep Learning

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HXHao XingGZGuigang ZhangSMShang Ma

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Abstract

Deep learning is a branch of machine learning that tries to model high-level abstractions of data using multiple layers of neurons consisting of complex structures or non-liner transformations. With the increase of the amount of data and the power of computation, neural networks with more complex structures have attracted widespread attention and been applied to various fields. This paper provides an overview of deep learning in neural networks including popular architecture models and training algorithms.

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Cite This Study

Xing et al. (2016) studied this question.

synapsesocial.com/papers/6a0f8cc5d13714ec96fe49dahttps://doi.org/10.1142/s1793351x16500045
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