Browsing CBMM Memo Series by Subject "Theory of Deep Learning"

Now showing items 1-1 of 1

    • Hierarchically Local Tasks and Deep Convolutional Networks 

      Deza, Arturo; Liao, Qianli; Banburski, Andrzej; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), 2020-06-24)
      The main success stories of deep learning, starting with ImageNet, depend on convolutional networks, which on certain tasks perform significantly better than traditional shallow classifiers, such as support vector machines. ...