Introduction to Deep Learning Business Applications for Developers

Name: Introduction to Deep Learning Business Applications for Developers
Brand: Apress
SKU: 03264010

Cargando comentarios…

$708

$637

Envío gratis siempre.

Consulta los términos y condiciones aquí

Comentarios

Cargando el resumen…

Por favor, inicia sesión para escribir un comentario.

Cargando comentarios…

3327554Introduction to Deep Learning Business Applications for Developershttps://www.gandhi.com.mx/introduction-to-deep-learning-business-applications-for-developers-9781484234532/phttps://gandhi.vtexassets.com/arquivos/ids/2362271/318a34e7-3986-4bb6-95cb-68633c73da70.jpg?v=638383872481730000637708MXNApressInStock/Ebooks/Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation and annotation, video processing and annotation, voice recognition, intelligent personal assistants, automated translation, and autonomous vehicles.An Introduction to Deep Learning Business Applications for Developers covers some common DL algorithms such as content-based recommendation algorithms and natural language processing. Youll explore examples, such as video prediction with fully convolutional neural networks (FCNN) and residual neural networks (ResNets). You will also see applications of DL for controlling robotics, exploring the DeepQ learning algorithm with Monte Carlo Tree search (used to beat humans in the game of Go), and modeling for financial risk assessment. There will also be mention of the powerful set of algorithms called Generative Adversarial Neural networks (GANs) that can be applied for image colorization, image completion, and style transfer.After reading this book you will have an overview of the exciting field of deep neural networks and an understanding of most of the major applications of deep learning. The book contains some coding examples, tricks, and insights on how to train deep learning models using the Keras framework.What You Will Learn<ul><li>Find out about deep learning and why it is so powerful</li><li>Work with the major algorithms available to train deep learning models</li><li>See the major breakthroughs in terms of applications of deep learning</li><li>Run simple examples with a selection of deep learning libraries</li><li>Discover the areas of impact of deep learning in business</li></ul>Who This Book Is ForData scientists, entrepreneurs, and business developers....3264010Introduction to Deep Learning Business Applications for Developers637708https://www.gandhi.com.mx/introduction-to-deep-learning-business-applications-for-developers-9781484234532/phttps://gandhi.vtexassets.com/arquivos/ids/2362271/318a34e7-3986-4bb6-95cb-68633c73da70.jpg?v=638383872481730000InStockMXN99999DIEbook20189781484234532_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_Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation and annotation, video processing and annotation, voice recognition, intelligent personal assistants, automated translation, and autonomous vehicles.An Introduction to Deep Learning Business Applications for Developers covers some common DL algorithms such as content-based recommendation algorithms and natural language processing. Youll explore examples, such as video prediction with fully convolutional neural networks (FCNN) and residual neural networks (ResNets). You will also see applications of DL for controlling robotics, exploring the DeepQ learning algorithm with Monte Carlo Tree search (used to beat humans in the game of Go), and modeling for financial risk assessment. There will also be mention of the powerful set of algorithms called Generative Adversarial Neural networks (GANs) that can be applied for image colorization, image completion, and style transfer.After reading this book you will have an overview of the exciting field of deep neural networks and an understanding of most of the major applications of deep learning. The book contains some coding examples, tricks, and insights on how to train deep learning models using the Keras framework.What You Will Learn<ul><li>Find out about deep learning and why it is so powerful</li><li>Work with the major algorithms available to train deep learning models</li><li>See the major breakthroughs in terms of applications of deep learning</li><li>Run simple examples with a selection of deep learning libraries</li><li>Discover the areas of impact of deep learning in business</li></ul>Who This Book Is ForData scientists, entrepreneurs, and business developers.(*_*)9781484234532_Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation and annotation, video processing and annotation, voice recognition, intelligent personal assistants, automated translation, and autonomous vehicles.An Introduction to Deep Learning Business Applications for Developers covers some common DL algorithms such as content-based recommendation algorithms and natural language processing. Youll explore examples, such as video prediction with fully convolutional neural networks (FCNN) and residual neural networks (ResNets). You will also see applications of DL for controlling robotics, exploring the DeepQ learning algorithm with Monte Carlo Tree search (used to beat humans in the game of Go), and modeling for financial risk assessment. There will also be mention of the powerful set of algorithms called Generative Adversarial Neural networks (GANs) that can be applied for image colorization, image completion, and style transfer.After reading this book you will have an overview of the exciting field of deep neural networks and an understanding of most of the major applications of deep learning. The book contains some coding examples, tricks, and insights on how to train deep learning models using the Keras framework.What You Will Learn<ul><li>Find out about deep learning and why it is so powerful</li><li>Work with the major algorithms available to train deep learning models</li><li>See the major breakthroughs in terms of applications of deep learning</li><li>Run simple examples with a selection of deep learning libraries</li><li>Discover the areas of impact of deep learning in business</li></ul>Who This Book Is ForData scientists, entrepreneurs, and business developers....9781484234532_Apresslibro_electonico_4bf552c8-3dee-3fc4-8e7c-743c8ae1b71c_9781484234532;9781484234532_9781484234532Bernardete RibeiroInglésMéxico2018-05-02T00:00:00+00:00Apress