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</html><description>Description: Dynamic learning rate is a fundamental concept in the training of machine learning models, especially in the context of neural networks. It refers to an approach where the learning rate, which determines the magnitude of adjustments made to the model&#x2019;s weights during backpropagation, varies throughout the training process. This adjustment can be based on [&hellip;]</description></oembed>
