P torres andrés (19 risultati)

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Primera edición. La Gran Enciclopedia del Espectáculo, tomo I. Contenido: Del juguete a la gran industria, Cine cómico, El amor y las estrellas, Cine histórico y bíblico, El "Western", La guerra en el cine, Cine social y político, Cine musical, Cine de fantasía, Cine de acción, Cinde religioso, Dibujo animado, El documental, Estilos y técnica del cine, El público y los festivales. Holandesa tela con el lomo en piel y sobrecubierta ilustrada. Texto a triple columna. Profusamente ilustrada con excelentes fotografías. Buen estado. ANTES DE HACER EL PEDIDO, DEBE INFORMARSE ACERCA DE LOS GASTOS DE ENVÍO HACIENDO CLICK EN EL ENLACE QUE ACOMPAÑA A ESTA FICHA, YA QUE ÉSTOS VARÍAN EN FUNCIÓN DEL PESO DE LOS LIBROS, LA MODALIDAD DE ENVÍO (ORDINARIO, CERTIFICADO O MENSAJERÍA), EL DESTINO Y LA FORMA DE PAGO (TARJETA, TRANSFERENCIA O CONTRA REEMBOLSO). Size: 537 Pp. 34x25 Cm. 3.100 Gr. …

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Condizione: New.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Encuadernación de tapa blanda. Condizione: Muy bien. Idioma español. Ejemplar en muy buen estado.

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2 volúmenes. 537-504 pp. Con numerosísimas ilustraciones en blanco y negro y en color.

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"Este libro pone a disposición de la Iglesia católica local, nacional e internacional, así como del público en general, varias aristas de los desafíos que la teología tiene a la hora de asumir la cuestión ecológica en el mundo moderno.

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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Gain practical, recipe-based insights into the world of deep learning using Apache MXNet for flexible and efficient research prototyping, training, and deployment to production.Key Features:A step-by-step tutorial towards using MXNet products to create scalable deep learning applicationsImplement tasks such as transfer learning, transformers, and more with the required speed and scalabilityAnalyze the performance of models and fine-tune them for accuracy, scalability, and speedBook Description:MXNet is an open-source deep learning framework that allows you to train and deploy neural network models and implement state-of-the-art (SOTA) architectures in CV, NLP, and more. With this cookbook, you will be able to construct fast, scalable deep learning solutions using Apache MXNet.This book will start by showing you the different versions of MXNet and what version to choose before installing your library. You will learn to start using MXNet/Gluon libraries to solve classification and regression problems and get an idea on the inner workings of these libraries. This book will also show how to use MXNet to analyze toy datasets in the areas of numerical regression, data classification, picture classification, and text classification. You'll also learn to build and train deep-learning neural network architectures from scratch, before moving on to complex concepts like transfer learning. You'll learn to construct and deploy neural network architectures including CNN, RNN, LSTMs, Transformers, and integrate these models into your applications.By the end of the book, you will be able to utilize the MXNet and Gluon libraries to create and train deep learning networks using GPUs and learn how to deploy them efficiently in different environments.What You Will Learn:Understand MXNet and Gluon libraries and their advantagesBuild and train network models from scratch using MXNetApply transfer learning for more complex, fine-tuned network architecturesSolve modern Computer Vision and NLP problems using neural network techniquesTrain and evaluate models using GPUs and learn how to deploy themExplore state-of-the-art models with GPUs and leveraging modern optimization techniquesImprove inference run-times and deploy models in production Who this book is for:This book is ideal for Data scientists, machine learning engineers, and developers who want to work with Apache MXNet for building fast, scalable deep learning solutions. The reader is expected to have a good understanding of Python programming and a working environment with Python 3.6+. A good theoretical understanding of mathematics for deep learning will be beneficial.…

Taschenbuch. Condizione: Neu. Deep Learning with MXNet Cookbook | Discover an extensive collection of recipes for creating and implementing AI models on MXNet | Andrés P. Torres | Taschenbuch | Englisch | 2023 | Packt Publishing | EAN 9781800569607 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …