Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Learning Rate

The video tutorial discusses the concept of learning rate in deep neural networks, highlighting its role as a step size in the error surface. It explains the challenges in determining the optimal step size and the potential for overshooting. Various heuristics, algorithms, and schedulers are mentioned as methods to adapt the learning rate. The tutorial emphasizes the importance of not keeping the learning rate fixed and suggests scheduling strategies, such as decreasing the rate as epochs increase. It concludes by stressing the need for tuning the learning rate through validation, as there is no guaranteed best approach.

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