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</html><description>Description: Batch learning is a training paradigm where a model, such as a convolutional neural network, is trained using the entire dataset at once, rather than incrementally or in small groups. This approach allows the model to process and adjust its parameters based on the entirety of the available information, which can lead to faster [&hellip;]</description></oembed>
