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OverviewTensorised deep learning models compress large models using fewer parameters that are easier to express and explain the models' performance. To use and participate in the current state-of-the-art research of multi-way analysis using tensor structures and algebra, a foundation in some mathematical concepts using examples and visualisations is required. This book covers the link from theoretical foundations to example applications in machine learning and deep neural network models. Plenty of Python libraries and application examples are referenced and explained to make it easier for newcomers in the field. All required prerequisites are referenced for a deeper foundation from scratch. Full Product DetailsAuthor: Manal HelalPublisher: Manal Helal Imprint: Manal Helal Dimensions: Width: 21.60cm , Height: 1.30cm , Length: 27.90cm Weight: 0.567kg ISBN: 9781916626331ISBN 10: 1916626335 Pages: 240 Publication Date: 11 May 2023 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In stock  We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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