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This document outlines Lecture 6 of a course on Deep Learning Theory and Applications, focusing on training and evaluating deep learning models. It discusses the computation of gradients and the full batch gradient descent algorithm, including the loss function and parameter updates. The lecture is authored by Ta Viet Cuong from the HMI laboratory at the University of Engineering and Technology.

Author

huydaubui22

Language

EN