Convolutional Network, Computer Vision, Neural Networks, Deep Learning, Machine Learning.
data. Each filter is convolved with the input to produce a feature map, and the network learns to extract various patterns by adjusting the weights (parameters) of these filters during training. In this example, we’re defining a convolutional layer with 32 filters, each having a 3x3 kernel size.