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</html><description>Description: Attention scoring is a value that indicates the importance of a particular input element in the context of a specific task. This concept is fundamental in the field of neural networks, especially in architectures such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs). Attention scoring allows models to focus on relevant parts [&hellip;]</description></oembed>
