Transposed Convolution

Introduction:

Convolutional neural networks are very useful when it comes to computer vision projects and can be automatically used to extract features from photos and videos while also reducing the image dimensions.
In most models for image classification, the CNN that is used is with a fully-connected layer. But in this case there are several issues that you will face like higher computation cost and no preservation of the spatial dimensions. To solve this problem, we employ a technique called...