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Explores non conceptual knowledge systems through image translation, video synthesis, self-supervised learning challenges, and universal representations.
Introduces the fundamentals of regression in machine learning, covering course logistics, key concepts, and the importance of loss functions in model evaluation.
Covers the use of transformers in robotics, focusing on embodied perception and innovative applications in humanoid locomotion and reinforcement learning.
