In machine learning, backpropagation is a widely used algorithm for training feedforward neural networks. Generalizations of backpropagation exist for other artificial neural networks (ANNs), and for functions generally. These classes of algorithms are all referred to generically as "backpropagation".
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Pushing RL Boundaries: Integrating Foundational Models, e.g.
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The Math Behind Deep CNN — AlexNet
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The Origins of Lifelong ML: Part 1 of Why LLML is the Next Game-changer of AI
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