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Http://arxiv.org/pdf /1404.7828v4.pdf

1404.7828v4.pdf
Preview of http://arxiv.org/pdf /1404.7828v4.pdf
🔗 Source: arxiv.org
📊 Size: 1.11 MB
📄 Pages: 88 pages
⬇️ Downloads: 72

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Deep artificial neural networks have won numerous contests in pattern recognition and machine learning, with deep learning distinguished by the depth of credit assignment paths. This survey reviews deep supervised learning, unsupervised learning, reinforcement learning, and evolutionary computation, tracing back the origins of relevant ideas over the past half century. It covers the history of backpropagation, development of convolutional neural networks, and improvements in neural networks, including the use of autoencoders, recurrent neural networks, and long short-term memory networks. The survey also discusses the role of graphics processing units, Occam's Razor, and minimum description length in deep learning, and touches on applications in neuroscience and reinforcement learning.

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Deep artificial neural networks have won numerous contests in pattern recognition and machine learning, with deep learning distinguished by the depth of credit...

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  • File Format: PDF
  • File Size: 1.11 MB
  • Pages: 88
  • Language: EN
  • Total Downloads: 72
  • Last Updated: 1 week ago

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