Convolution neural networks can discover from various features parallelly. In the final phase, we stack each of the output characteristic maps along with the depth and deliver the output. A VGG-block had lots of 3x3 convolutions padded by one to maintain the size of output similar to that of https://financefeeds.com/best-meme-coins-to-buy-now-5-unmissable-moonshots/