Artículos relacionados a Practical TensorFlow.js: Deep Learning in Web App Developmen...
Sinopsis
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 Learn
- Build deep learning products suitable for web browsers
- Work 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 analysis
Who This Book Is For
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Juan De Dios Santos Rivera is a machine learning engineer who focuses on building data-driven and machine learning-driven platforms. As a Big Data Software Engineer for mobile apps, his role has been to build solutions to detect spammers and avoid the proliferation of them. This book goes hand-to-hand with that role in building data solutions. As the AI field keeps growing, developers need to keep extending the reach of our products to every platform out there, which includes web browsers.
De la contraportada
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.
You will:
- Build deep learning products suitable for web browsers
- Work 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 analysis
"Sobre este título" puede pertenecer a otra edición de este libro.
EUR 48,10
EUR 17,14 gastos de envío desde Estados Unidos de America a España
Destinos, gastos y plazos de envíoComprar nuevo
Ver este artículo
EUR 45,31
EUR 10,72 gastos de envío desde Estados Unidos de America a España
Destinos, gastos y plazos de envíoResultados de la búsqueda para Practical TensorFlow.js: Deep Learning in Web App Developmen...
Imagen del vendedor
Practical Tensorflow.Js: Deep Learning in Web App Development (Paperback or Softback)
Publicado por
Apress 10/15/2020, 2020
ISBN 10: 1484262727
ISBN 13: 9781484262726
Nuevo
Paperback or Softback
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback or Softback. Condición: New. Practical Tensorflow.Js: Deep Learning in Web App Development 1.01. Book. Nº de ref. del artículo: BBS-9781484262726
Cantidad disponible: 5 disponibles
Imagen del vendedor
Practical Tensorflow.js : Deep Learning in Web App Development
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 41900030-n
Cantidad disponible: 1 disponibles
Imagen del vendedor
Practical Tensorflow.js : Deep Learning in Web App Development
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 41900030
Cantidad disponible: 1 disponibles
Imagen de archivo
Practical TensorFlow.js: Deep Learning in Web App Development
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9781484262726_new
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Practical Tensorflow.js : Deep Learning in Web App Development
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 41900030
Cantidad disponible: 1 disponibles
Imagen del vendedor
Practical Tensorflow.js : Deep Learning in Web App Development
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 41900030-n
Cantidad disponible: 1 disponibles
Imagen de archivo
Practical TensorFlow.js: Deep Learning in Web App Development
Impresión bajo demandaLibrería: THE SAINT BOOKSTORE, Southport, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 504. Nº de ref. del artículo: C9781484262726
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Practical TensorFlow.js
Impresión bajo demandaLibrería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focus less on deep learning concepts, and the functionalities of the framework, and more on actual applications using JavaScript Work with a wide range of algorithms, methods, and use cases, such as convolutional neural networks, object d. Nº de ref. del artículo: 389990622
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Practical TensorFlow.js : Deep Learning in Web App Development
Librería: Chiron Media, Wallingford, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
PF. Condición: New. Nº de ref. del artículo: 6666-IUK-9781484262726
Cantidad disponible: 10 disponibles
Imagen de archivo
Practical Tensorflow.js: Deep Learning in Web App Development
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. 303 pages. 8.75x5.75x0.75 inches. In Stock. Nº de ref. del artículo: x-1484262727
Cantidad disponible: 2 disponibles