Reinforcement Learning and Deep RL Python Theory and Projects - DNN Gradient Descent Exercise

The video tutorial explains the concept of gradient descent, focusing on why steps are taken in the negative gradient direction. It discusses the gradient vector, its direction, and the importance of minimizing the loss function by moving in the opposite direction of the gradient. The tutorial addresses the core question of why gradient descent is used and concludes with a summary of its significance.

What does the term 'gradient descent' imply in the context of optimization?

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Discuss the implications of moving in the direction of the gradient versus the negative gradient.

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