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QWhat does the term "Gradient Descent" signify in AI?

ID: #11128 Definitions 153 views
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  • A The process of optimizing hyperparameters in a machine learning model ✔ ✖
  • B The study of algorithms and data structures ✔ ✖
  • C An optimization algorithm used to minimize the loss function and update the model's parameters iteratively ✔ ✖
  • D The development of virtual reality systems ✔ ✖
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Reinforcement Learning is a type of machine learning where an agent learns through interactions with an environment. The agent takes actions in the environment, and based on those actions, it receives rewards or punishments as feedback. The goal of the agent is to maximize its cumulative rewards by learning which actions yield the most desirable outcomes. Reinforcement learning has applications in areas such as robotics, game playing, and autonomous systems.

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