Building a Convolutional Neural Network in PyTorch
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. Therefore it is used to produce state-of-the-art results on computer vision neural networks. In this post, you will learn about the convolutional layer and the network it built. After completing this post, you will know:
- What are convolutional layers and pooling layers
- How they fit together in a neural network
- How a neural network using convolutional layers is designed
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