paperback. Condizione: Very Good. Grade 3 out 5 points. This is a used book. Book has wear on cover and pages. May have personalized notes/names, stickers/labels. Has no markings on pages. May not include extra materials like access codes, CDs, accessories, etc. All orders ship by next business day! We are a small company and very thankful for your business!
paperback. Condizione: Fine. Grade 4 out of 5 points. This is a used book. Book may have wear due to handling. Has no markings on pages. May not include extra materials like access codes, CDs, accessories, etc. All orders ship by next business day! We are a small company and very thankful for your business!
Paperback. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
paperback. Condizione: Very Good. Fast Shipping - Safe and Secure 7 days a week!
Condizione: New.
Condizione: As New. Unread book in perfect condition.
EUR 44,30
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 47,42
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Deep Learning Crash Course goes beyond the basics of machine learning to delve into modern techniques and applications of great interest right now, and whose popularity will only grow in the future. The book covers topics such as generative models (the technology behind deep fakes), self-supervised learning, attention mechanisms (the tech behind ChatGPT), graph neural networks (the tech behind AlphaFold), and deep reinforcement learning (the tech behind AlphaGo). This book bridges the gap between theory and practice, helping readers gain the confidence to apply deep learning in their work.
Condizione: New.
EUR 46,19
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 45,89
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 50,10
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
EUR 47,16
Quantità: Più di 20 disponibili
Aggiungi al carrellopaperback. Condizione: New.
EUR 58,01
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
EUR 51,10
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 472 pages. 9.25x7.00x9.25 inches. In Stock.
EUR 65,07
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 472 pages. 9.25x7.00x9.25 inches. In Stock.
EUR 69,70
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
EUR 49,04
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Deep Learning Crash Course goes beyond the basics of machine learning to delve into modern techniques and applications of great interest right now, and whose popularity will only grow in the future. The book covers topics such as generative models (the technology behind deep fakes), self-supervised learning, attention mechanisms (the tech behind ChatGPT), graph neural networks (the tech behind AlphaFold), and deep reinforcement learning (the tech behind AlphaGo). This book bridges the gap between theory and practice, helping readers gain the confidence to apply deep learning in their work.
EUR 42,09
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Giovanni Volpe, head of the Soft Matter Lab at the University of Gothenburg and recipient of the Göran Gustafsson Prize in Physics, has published extensively on deep learning and physics and developed key software packages including DeepTrack, D.
EUR 48,32
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Deep Learning Crash Course goes beyond the basics of machine learning to delve into modern techniques and applications of great interest right now, and whose popularity will only grow in the future. The book covers topics such as generative models (the technology behind deep fakes), self-supervised learning, attention mechanisms (the tech behind ChatGPT), graph neural networks (the tech behind AlphaFold), and deep reinforcement learning (the tech behind AlphaGo). This book bridges the gap between theory and practice, helping readers gain the confidence to apply deep learning in their work.