Browsing Department of Computational and Data Sciences (CDS) by Subject "Deep Neural Networks"

Now showing items 1-2 of 2

    • 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 ...

    • 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 ...