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For questions related to machine learning (ML), which is a set of methods that can automatically detect patterns in data, and then use the uncovered patterns to predict future data, or to perform other kinds of decision making under uncertainty (such as planning how to collect more data). ML is usually divided into supervised, unsupervised and reinforcement learning. Deep learning is a subfield of ML that uses deep artificial neural networks.

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Why does the number of feature maps increases in the VGG model?

The number of feature maps is increased because we increased the number of filters that are applied throughout the process. Here is the reason why: Filters at first layers would find simple features …
murat.sahin.dev's user avatar