Practical TensorFlow.js

Idioma: inglés

Editorial: Apress Sep 2020, 2020

1484262727 / 9781484262726

  • Tapa blanda
  • Nuevo
Ver todos los detalles

Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

Vendedor de 5 estrellas

Vendedor de IberLibro desde 11 de enero de 2012

Tapa blanda

Condición: Nuevo

EUR 69,54

Envío por EUR 23,00 
Se envía de Alemania a Estados Unidos de America

Cantidad disponible: 2 disponibles

Añadir al carrito
Devoluciones gratuitas de 30 días

Descripción del artículo del vendedor

This item is printed on demand - it takes 3-4 days longer - Neuware -Develop and deploy deep learning web apps using the TensorFlow.js library. TensorFlow. js is part of a bigger framework named TensorFlow, which has many tools that supplement it, such as TensorBoard , ml5js , tfjs-vis. This book will cover all these technologies and show they integrate with TensorFlow. js to create intelligent web apps.The most common and accessible platform users interact with everyday is their web browser, making it an ideal environment to deploy AI systems. TensorFlow.js is a well-known and battle-tested library for creating browser solutions. Working in JavaScript, the so-called language of the web, directly on a browser, you can develop and serve deep learning applications.You'll work with deep learning algorithms such as feedforward neural networks, convolutional neural networks (CNN), recurrent neural networks (RNN), and generative adversarial network (GAN). Through hands-on examples, apply these networks in use cases related to image classification, natural language processing, object detection, dimensionality reduction, image translation, transfer learning, and time series analysis.Also, these topics are very varied in terms of the kind of data they use, their output, and the training phase. Not everything in machine learning is deep networks, there is also what some call shallow or traditional machine learning. While TensorFlow.js is not the most common place to implement these, you'll be introduce them and review the basics of machine learning through TensorFlow.js.What You'll LearnBuild deep learning products suitable for web browsersWork with deep learning algorithms such as feedforward neural networks, convolutional neural networks (CNN), recurrent neural networks (RNN), and generative adversarial network (GAN)Develop apps using image classification, natural language processing, object detection, dimensionality reduction, image translation, transfer learning, and time series analysisWho This Book Is For Programmers developing deep learning solutions for the web and those who want to learn TensorFlow.js with at least minimal programming and software development knowledge. No prior JavaScript knowledge is required, but familiarity with it is helpful. 328 pp. Englisch.…

N° de ref. del artículo 9781484262726

Título
Practical TensorFlow.js
Autor
Juan De Dios Santos Rivera
Editorial
Apress Sep 2020
Año de publicación
2020
Estado
Neu
Encuadernación
Taschenbuch
Idioma
inglés
ISBN 10
1484262727
ISBN 13
9781484262726
Peso del artículo
499 gramos
Dimensiones
235x155x18 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Alemania

Vendedor de 5 estrellas

Vendedor de IberLibro desde 11 de enero de 2012

Tarifas de envío de Alemania a Estados Unidos de America

ArtículoDe 5 a 15 días hábilesDe 5 a 15 días hábiles
Primer artículoEUR 23,00EUR 23,00
Los plazos de entrega los establecen los vendedores y varían según el transportista y la ubicación. Los pedidos que pasan por la aduana pueden sufrir retrasos y los compradores son responsables de los aranceles o tarifas asociadas. Los vendedores pueden ponerse en contacto con usted en relación con cargos adicionales para cubrir cualquier aumento en los costes de envío de los artículos.

Métodos de pago

  • Visa
  • Mastercard
  • American Express
  • Carte Bleue
  • Apple Pay
  • Google Pay
  • Cheque
  • Giro bancario
  • PayPal

Información empresarial del vendedor

BuchWeltWeit Ludwig Meier e.K.

Alemania