26. Structure of Neural Nets for Deep Learning

MIT Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018 Instructor: Gilbert Strang View the complete course: YouTube Playlist: 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. License: Creative Commons BY-NC-SA More information at More courses at