This lecture introduces the concept of a state machine through practical challenges, where pressing different buttons triggers specific actions, emphasizing the importance of defining clear instructions for the robot to follow.
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Explores the theoretical properties and practical power of Recurrent Neural Networks, including their relationship to state machines and Turing completeness.
