Neural networks are built with layers connected to each other. There are many different kind of layers. For image related applications, you can always find convolutional layers. It is a layer with very few parameters but applied over a large sized input. It is powerful because it can preserve the spatial structure of the image. […]
The post Building a Convolutional Neural Network in PyTorch appeared first on MachineLearningMastery.com.
via https://AIupNow.com
Adrian Tam, Khareem Sudlow