Data-dependent Initializations of Convolutional Neural Networks
international conference on learning representations, Volume abs/1511.06856, 2016.
Abstract: Convolutional Neural Networks spread through computer vision like a wildfire, impacting almost all visual tasks imaginable. Despite this, few researchers dare to train their models from scratch. Most work builds on one of a handful of ImageNet pre-trained models, and fine-tunes or adapts these for specific tasks. This is in larg...More
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