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Artificial neural networks (ANN), are composed of 'neurons' - programming constructs that mimic the properties of biological neurons. A set of weighted connections between the neurons allows information to propagate through the network to solve artificial intelligence problems without the network designer having had a model of a real system.

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Learning the gradient descent stepsize with RL [closed]

Problem statement: I've been working on a project to accelerate the convergence of gradient descent using reinforcement learning (RL). I want to learn a policy that can map the current state of gradie …
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