Articoli correlati a Deep Learning 101 for Scientists and Engineers
Sinossi
Are you ready to revolutionize your scientific research and engineering projects with cutting-edge AI technology?
Deep Learning 101 for Scientists and Engineers is your hands-on guide to mastering deep learning without getting lost in complex math. This book is designed for scientists, engineers, and researchers eager to leverage adaptive deep learning models for real-world applications.
Why This Book?
Clear, Insight-Oriented Explanations: Grasp deep learning concepts through computational graphs, not dense equations.
Practical, Hands-On Learning: Dive into real coding examples using PyTorch and Google Colab.
Focus on Adaptive Transformers: Learn how adaptive models can dynamically adjust to real-time data in fields like biomedical engineering, autonomous systems, and industrial automation.
Comprehensive Coverage: From basics like gradient descent to building advanced transformer models, everything you need is here.
Who Should Read This Book?
Researchers and Academics in biology, chemistry, physics, and engineering.
Students eager to explore AI applications in their fields.
Industry Professionals looking to enhance their systems with adaptive deep learning models.
What Sets This Book Apart?
Focused on adaptive deep learning models that evolve with your data.
Tools and Frameworks guide for seamless implementation.
Hands-on coding examples tailored to scientists and engineers.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Compra nuovo
Visualizza questo articolo
EUR 17,56
EUR 7,67 per la spedizione da U.S.A. a Italia
Destinazione, tempi e costiRisultati della ricerca per Deep Learning 101 for Scientists and Engineers
Foto dell'editore
Deep Learning 101 for Scientists and Engineers
Print on DemandDa: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Print on Demand. Codice articolo I-9798309838004
Quantità: Più di 20 disponibili
Foto dell'editore
Deep Learning 101 for Scientists and Engineers
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: New. In. Codice articolo ria9798309838004_new
Quantità: Più di 20 disponibili
Foto dell'editore
Deep Learning 101 for Scientists and Engineers
Da: Best Price, Torrance, CA, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. SUPER FAST SHIPPING. Codice articolo 9798309838004
Quantità: 1 disponibili
Immagini fornite dal venditore
Shin, Y: Deep Learning 101 for Scientists and Engineers
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Neuware - Why This Book. Codice articolo 9798309838004
Quantità: 2 disponibili
Foto dell'editore
Deep Learning 101 for Scientists and Engineers (Paperback)
Da: CitiRetail, Stevenage, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. Are you ready to revolutionize your scientific research and engineering projects with cutting-edge AI technology?Deep Learning 101 for Scientists and Engineers is your hands-on guide to mastering deep learning without getting lost in complex math. This book is designed for scientists, engineers, and researchers eager to leverage adaptive deep learning models for real-world applications.Why This Book?Clear, Insight-Oriented Explanations: Grasp deep learning concepts through computational graphs, not dense equations.Practical, Hands-On Learning: Dive into real coding examples using PyTorch and Google Colab.Focus on Adaptive Transformers: Learn how adaptive models can dynamically adjust to real-time data in fields like biomedical engineering, autonomous systems, and industrial automation.Comprehensive Coverage: From basics like gradient descent to building advanced transformer models, everything you need is here.Who Should Read This Book?Researchers and Academics in biology, chemistry, physics, and engineering.Students eager to explore AI applications in their fields.Industry Professionals looking to enhance their systems with adaptive deep learning models.What Sets This Book Apart?Focused on adaptive deep learning models that evolve with your data.Tools and Frameworks guide for seamless implementation.Hands-on coding examples tailored to scientists and engineers. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798309838004
Quantità: 1 disponibili
Foto dell'editore
Deep Learning 101 for Scientists and Engineers (Paperback)
Da: Grand Eagle Retail, Mason, OH, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. Are you ready to revolutionize your scientific research and engineering projects with cutting-edge AI technology?Deep Learning 101 for Scientists and Engineers is your hands-on guide to mastering deep learning without getting lost in complex math. This book is designed for scientists, engineers, and researchers eager to leverage adaptive deep learning models for real-world applications.Why This Book?Clear, Insight-Oriented Explanations: Grasp deep learning concepts through computational graphs, not dense equations.Practical, Hands-On Learning: Dive into real coding examples using PyTorch and Google Colab.Focus on Adaptive Transformers: Learn how adaptive models can dynamically adjust to real-time data in fields like biomedical engineering, autonomous systems, and industrial automation.Comprehensive Coverage: From basics like gradient descent to building advanced transformer models, everything you need is here.Who Should Read This Book?Researchers and Academics in biology, chemistry, physics, and engineering.Students eager to explore AI applications in their fields.Industry Professionals looking to enhance their systems with adaptive deep learning models.What Sets This Book Apart?Focused on adaptive deep learning models that evolve with your data.Tools and Frameworks guide for seamless implementation.Hands-on coding examples tailored to scientists and engineers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798309838004
Quantità: 1 disponibili