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

The video tutorial discusses machine learning algorithms, focusing on binary classification and parameter updates to minimize loss. It explains the concept of gradient descent, emphasizing the importance of walking in the negative gradient direction to reduce loss. The tutorial also covers the significance of step size, or learning rate, in this process. Finally, it highlights the application of gradient descent in training neural networks, noting its effectiveness in optimizing parameters.

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