26. Structure of Neural Nets for Deep Learning
MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018
Instructor: Gilbert Strang
View the complete course: https://ocw.mit.edu/18-065S18
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This lecture is about the central structure of deep neural networks, which are a major force in machine learning. The aim is to find the function that's constructed to learn the training data and then apply it to the test data.
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