InTDS ArchivebySabyasachi Sahoo·Nov 27, 2018Residual blocks — Building blocks of ResNetUnderstanding a residual block is quite easy. In traditional neural networks, each layer feeds into the next layer. In a network with…A response icon6A response icon6
InTDS ArchivebySabyasachi Sahoo·Nov 19, 2018Separable convolutions — trading little accuracy for huge computational gainsTypically in convolutions, we use a 2D or a 3D kernel filter where we hope that each filter extracts some kind of a feature by convoluting…A response icon1A response icon1
InTDS ArchivebySabyasachi Sahoo·Nov 18, 2018Grouped Convolutions — convolutions in parallelUsually, convolution filters are applied on an image layer by layer to get the final output feature maps. We increase the no of kernels…A response icon1A response icon1
InTDS ArchivebySabyasachi Sahoo·Aug 19, 2018Deciding optimal filter size for CNNsSo, by now you know how to use convolutional neural networks (CNNs) on your datasets and you start wondering: Apart from tuning various…A response icon3A response icon3