Introduction to 10 601 Machine Learning Fall 2017 Lecture 26
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10 601 Machine Learning Fall 2017 Lecture 26 Comprehensive Overview
Neural Networks. Framework Information Theory: Cross Entropy and Self Entropy
Topics: support vector
Summary & Highlights for 10 601 Machine Learning Fall 2017 Lecture 26
- Topics: deep learning, restricted Boltzmann machines, privacy in
- 2006
- Course Introduction; History of AI
- Information Theory: Mutual Information and Covariate Selection
- Topics: high-level overview of
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