On The Power of Curriculum Learning in Training Deep Networks

7 Apr 2019Guy HacohenDaphna Weinshall

Training neural networks is traditionally done by providing a sequence of random mini-batches sampled uniformly from the entire training data. In this work, we analyze the effect of curriculum learning, which involves the non-uniform sampling of mini-batches, on the training of deep networks, and specifically CNNs trained for image recognition... (read more)

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