Feature maps are the output of convolutional operations in convolutional neural networks (CNNs), representing the learned features from input data such as images. Each feature map highlights specific aspects or patterns, such as edges, textures, or shapes, which are crucial for tasks like image classification and object detection. They allow the network to focus on different parts of the input and help in building a hierarchical understanding of the data.
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