{"product_id":"variational-methods-for-machine-learning-with-applications-to-deep-networks-9783030706814","title":"Variational Methods for Machine Learning with Applications to Deep Networks","description":"\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 165 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 12 May 2022\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer Nature Switzerland AG\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis book provides a straightforward look at the concepts, algorithms and advantages of Bayesian Deep Learning and Deep Generative Models.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783030706814\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 2021 ed.\u003c\/p\u003e","brand":"Lucas Pinheiro Cinelli,Matheus Araujo Marins,Eduardo Antonio Barros da Silva,Sergio Lima Netto","offers":[{"title":"Paperback \/ softback","offer_id":47425687814394,"sku":"9783030706814","price":74.96,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/files\/1750433014033_book_81afc63a-59ff-4e27-a17b-a8f49632ff8c.jpg?v=1750530377","url":"https:\/\/shulphink.com\/products\/variational-methods-for-machine-learning-with-applications-to-deep-networks-9783030706814","provider":"Shulph Ink","version":"1.0","type":"link"}