Deep Learning 52 Success Secrets - 52 Most Asked Questions On Deep Learning - What You Need To Know

Nonfiction, Reference & Language, Reference, Business & Finance

• Author: Louis Lott
• ISBN: 9781488805813
• Publisher: Emereo Publishing
• Publication: October 11, 2014
• Imprint: Emereo Publishing
• Language: English

A new, exciting approach to Deep Learning. 'Deep learning' is a set of calculations in engine educating that aim to grasp in numerous degrees of portrayal, comparable to dissimilar degrees of generalized concepting. It characteristically utilizes contrived nerve networks. The degrees in those absorbed mathematical analytic types correlate with to clearly different degrees of notions, wherever higher-level notions are described as of lower-level ones, and the similar lower-level notions may aid to describe numerous higher-level notions. There has never been a Deep Learning Guide like this.

It contains 52 answers, much more than you can imagine; comprehensive answers and extensive details and references, with insights that have never before been offered in print. Get the information you need--fast! This all-embracing guide offers a thorough view of key knowledge and detailed insight. This Guide introduces what you want to know about Deep Learning.

A quick look inside of some of the subjects covered: John F. Kennedy University - Service to Community, Pattern recognition - Regression analysis|Regression algorithms (predicting real number|real-valued labels), Google Brain, Geoffrey Hinton, Camille Paglia - Feminism, Torch (machine learning), Deep learning - Deep learning in artificial neural networks, Aleph (psychedelic) - Aleph-4, Reflective practice - Health professionals, Deep belief network, Learning styles - A more recent evidence-based model of learning, Deep learning - Fundamental concepts, List of text mining software - Commercial, Learning representation, Waldorf education - Educational scholars, Artificial neural network - History, Andrew Ng - Machine learning research, Pope Benedict XIV - Ascension to the papacy, Sepp Hochreiter - Deep Neural Networks and Recurrent Neural Networks, Image classification - Related fields, Torch (machine learning) - Applications, Pierre Baldi - Career, Blissymbols - Semantics, and much more…