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    Relating Representations in Deep Learning and the Brain 

    Jat, Sharmistha
    Deep Neural Networks (DNN) inspired by the human brain have redefined the state-of-the-art performance in AI during the past decade. Much of the research is still trying to understand and explain the function of these ...

    Learning Compact Architectures for Deep Neural Networks 

    Srinivas, Suraj (2018-05-22)
    Deep neural networks with millions of parameters are at the heart of many state of the art computer vision models. However, recent works have shown that models with much smaller number of parameters can often perform just ...

    Systems Optimizations for DNN Training and Inference on Accelerated Edge Devices 

    Prashanthi, S K
    Deep Neural Networks (DNNs) have had a significant impact on a wide variety of domains, such as Autonomous Vehicles, Smart Cities, and Healthcare, through low-latency inferencing on edge computing devices close to the data ...

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    AuthorJat, Sharmistha (1)Prashanthi, S K (1)Srinivas, Suraj (1)Subject
    Deep Neural Networks (3)
    Machine Learning (3)
    Architecture Learning (1)Bayesian Neural Networks (1)Binary Neural Nets (1)Computational and Data Sciences (1)Computational Neuroscience (1)Compute Unified Device Architecture (1)DNN training and inference (1)Edge Accelerators (1)... View MoreDate Issued2018 (1)Has File(s)
    Yes (3)

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