Exploring Aa 17 18 Lecture 14
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- Deep learning. The problem of backpropagation. Autoencoders and Stacked Denoising Autoencoders.
- Periodic Table families gp.
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Bayesian Decision theory. Maximum a posteriori estimation. Decisions and costs. Empirical Risk Minimization. Decision theory. Probably Approximately Correct Learning. VC dimension and shattering. Graphical methods, Hidden markov models. The Baum-Welch and Vitterbi algorithms. Hi Everyone. Welcome to JR College. I am Rahul Jaiswal. Like, share and subscribe. #jrcollege . Follow JR College Insta Page ...
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