Skip to Main Content
Machine Learning
book

Machine Learning

by Sergios Theodoridis
April 2015
Intermediate to advanced content levelIntermediate to advanced
1062 pages
40h 35m
English
Academic Press
Content preview from Machine Learning

Contrastive divergence

To train the RBM, one has to obtain the positive and negative phase correlations. However, the computation of the latter is intractable. A way to approach it is via Gibbs sampling techniques (see Chapter 14). The fact that we know analytically the conditionals, P(hi|v) and P(vj|h), allows us to apply Gibbs sampling by sequentially drawing samples, that is, h(1)P(h|v(1))si122_e, v(2)P(v|h(1))si123_e, h(2)P(h|v(2))si124_e, and so on. However, ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Machine Learning

Machine Learning

Subramanian Chandramouli, Saikat Dutt, Amit Kumar Das
Machine Learning

Machine Learning

Mohssen Mohammed, Muhammad Badruddin Khan, Eihab Mohammed Bashier
Machine Learning Algorithms

Machine Learning Algorithms

Giuseppe Bonaccorso
Introducing Machine Learning

Introducing Machine Learning

Dino Esposito, Francesco Esposito

Publisher Resources

ISBN: 9780128015223