{"product_id":"deep-learning-for-computational-imaging-9780198947189","title":"Deep Learning for Computational Imaging","description":"\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 240 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 30 April 2025\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Oxford University Press\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis textbook offers an introduction to deep learning for solving inverse problems. It introduces deep neural networks and deep neural network based signal and image reconstruction techniques. It discusses robustness aspects, how to evaluate and test different methods, and data-centric aspects.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 408g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 234 x 157 x 16 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9780198947189\u003c\/p\u003e","brand":"Prof Reinhard, Professor of Machine Learning, Technical University of Munich) Heckel","offers":[{"title":"Paperback \/ softback","offer_id":47306621911290,"sku":"9780198947189","price":38.08,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/files\/noimage_affaa3d5-ed78-4dad-8e32-e211bb2ec386.png?v=1746863821","url":"https:\/\/shulphink.com\/products\/deep-learning-for-computational-imaging-9780198947189","provider":"Shulph Ink","version":"1.0","type":"link"}