Name: Deep Learning for Physical Scientists: Research With Machine Learning
SKU: 52817548
Price: 2788.00 TWD
Availability: InStock
Author: Edward O. Pyzer-Knapp

portada Deep Learning for Physical Scientists: Research With Machine Learning

Deep Learning for Physical Scientists: Research With Machine Learning

Type

Physical Book

Author

Edward O. Pyzer-Knapp

Year

2021

Language

English

Pages

248

Format

Hardcover

ISBN13

9781119408338

Synopsis "Deep Learning for Physical Scientists: Research With Machine Learning "

This book introduces the reader to the transformative techniques involved in deep learning. A range of methodologies are addressed including: * Basic classification and regression with perceptrons * Training algorithms, such as back propagation and stochastic gradient descent and the parallelization of training * Multi-Layer Perceptrons for learning from descriptors, and de-noising data * Recurrent neural networks for learning from sequences * Convolutional neural networks for learning from images * Bayesian optimization for tuning deep learning architectures Each of these areas has direct application to physical science research, and by the end of the book, the reader should feel comfortable enough to select the methodology which is best for their situation, and be able to implement and interpret outcome of the deep learning model. The book is designed to teach researchers to think in new ways, providing them with new avenues to attack problems, and avoid roadblocks within their research. This is achieved through the inclusion of case-study like problems at the end of each chapter, which will give the reader a chance to practice what they have just learnt in a close-to-real-world setting, with example `solutions' provided through an online resource.

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Deep Learning for Physical Scientists: Research With Machine Learning - Edward O. Pyzer-Knapp

Synopsis "Deep Learning for Physical Scientists: Research With Machine Learning "

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