Adding Gradient Noise Improves Learning for Very Deep Networks

    arXiv: Machine Learning, Volume abs/1511.06807, 2017.

    Cited by: 113|Bibtex|Views70|Links
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    Abstract:

    Deep feedforward and recurrent networks have achieved impressive results in many perception and language processing applications. Recently, more complex architectures such as Neural Turing Machines and Memory Networks have been proposed for tasks including question answering and general computation, creating a new set of optimization cha...More

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