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Convolutional network (ConvNet) has been shown to be able to increase the depth as well as improve performance. Deep net, however, is not perfect yet because of vanishing/exploding gradients and some weights avoid learning anything during the training. To avoid this, can we just keep the depth shallow and simply make network wide enough to achieve a similar(More)
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