knapp edward (18 Ergebnisse)

Hardcover. Zustand: Fair. No Jacket. Campana, Manny (illustrator). Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Very Good. How Speedy is a Cheetah? This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .

Zustand: Very Good. Campana, Manny (illustrator). Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Hardcover. Zustand: Very Good. No Jacket. Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Used; Good. Dispatched, from the UK, within 48 hours of ordering. This book is in good condition but will show signs of previous ownership. Please expect some creasing to the spine and/or minor damage to the cover.

Zustand: New. In.

Hardcover. Zustand: Very Good. 1st Edition. 426pp; Index; coated glossy paper; with 254 b/w illustrations. Doctor's small name stamp inside front cover; otherwise in Fine condition. Contents clean, tight, textually unmarked; no library stamps.

Zustand: Good. first edition, 11 pp., paperback, good+. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Zustand: Good. Most items will be dispatched the same or the next working day. Ex library copy with usual stamps & stickers.

Zustand: very good. First? Edition. First? Printing. 23 cm, 54, wraps, illus., slight wear and soiling to covers.

Zustand: New.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In.

Zustand: New.

Zustand: New. 2021. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.

Hardcover. Zustand: Brand New. 248 pages. 9.60x6.69x0.83 inches. In Stock.

Buch. Zustand: Neu. Neuware - Discover the power of machine learning in the physical sciences with this one-stop resource from a leading voice in the fieldDeep Learning for Physical Scientists: Accelerating Research with Machine Learning delivers an insightful analysis of the transformative techniques being used in deep learning within the physical sciences. The book offers readers the ability to understand, select, and apply the best deep learning techniques for their individual research problem and interpret the outcome.Designed to teach researchers to think in useful new ways about how to achieve results in their research, the book provides scientists with new avenues to attack problems and avoid common pitfalls and problems. Practical case studies and problems are presented, giving readers an opportunity to put what they have learned into practice, with exemplar coding approaches provided to assist the reader.From modelling basics to feed-forward networks, the book offers a broad cross-section of machine learning techniques to improve physical science research. Readers will also enjoy:\* A thorough introduction to the basic classification and regression with perceptrons\* An exploration of training algorithms, including back propagation and stochastic gradient descent and the parallelization of training\* An examination of multi-layer perceptrons for learning from descriptors and de-noising data\* Discussions of recurrent neural networks for learning from sequences and convolutional neural networks for learning from images\* A treatment of Bayesian optimization for tuning deep learning architecturesPerfect for academic and industrial research professionals in the physical sciences, Deep Learning for Physical Scientists: Accelerating Research with Machine Learning will also earn a place in the libraries of industrial researchers who have access to large amounts of data but have yet to learn the techniques to fully exploit that access. Perfect for academic and industrial research professionals in the physical sciences, Deep Learning for Physical Scientists: Accelerating Research with Machine Learning will also earn a place in the libraries of industrial researchers who have access to large amounts of data but have yet to learn the techniques to fully exploit that access. 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. Market Description 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 desc.

Gebundene Ausgabe. Zustand: Gut. englisch, 128 Seiten 21602 (S) Sprache: Deutsch.