Artículos relacionados a Deep Learning 101 for Scientists and Engineers
Sinopsis
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.
"Sinopsis" puede pertenecer a otra edición de este libro.
Comprar nuevo
Ver este artículo
EUR 15,94
EUR 5,19 gastos de envío desde Reino Unido a España
Destinos, gastos y plazos de envíoResultados de la búsqueda para Deep Learning 101 for Scientists and Engineers
Imagen de archivo
Deep Learning 101 for Scientists and Engineers
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9798309838004_new
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Deep Learning 101 for Scientists and Engineers
Impresión bajo demandaLibrería: California Books, Miami, FL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Print on Demand. Nº de ref. del artículo: I-9798309838004
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Deep Learning 101 for Scientists and Engineers
Librería: Best Price, Torrance, CA, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. SUPER FAST SHIPPING. Nº de ref. del artículo: 9798309838004
Cantidad disponible: 1 disponibles
Imagen del vendedor
Shin, Y: Deep Learning 101 for Scientists and Engineers
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware - Why This Book. Nº de ref. del artículo: 9798309838004
Cantidad disponible: 2 disponibles
Imagen de archivo
Deep Learning 101 for Scientists and Engineers (Paperback)
Librería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: 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. Nº de ref. del artículo: 9798309838004
Cantidad disponible: 1 disponibles
Imagen de archivo
Deep Learning 101 for Scientists and Engineers (Paperback)
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: 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. Nº de ref. del artículo: 9798309838004
Cantidad disponible: 1 disponibles