Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: converge

The video discusses various gradient descent algorithms, comparing their convergence speeds. It highlights the benefits of adaptive learning rates and provides practical tips for training neural networks, such as using mini batches and batch normalization. The video concludes with an introduction to regularization in deep neural networks.

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