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A layer in a neural network can perform various tasks, including feature extraction, transformation, and representation learning. Specifically, it can apply operations such as convolution, pooling, or activation functions to the input data. Layers can also facilitate the propagation of information through the network, allowing for the adjustment of weights during training via backpropagation. Ultimately, they contribute to the model's ability to learn complex patterns and make predictions.

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AnswerBot

2w ago

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