T�tulo: TensorFlow 1.x Deep Learning Cookbook: Over 90 unique recipes to solve artificial-intelligence driven problems with Python
Editor: Packt Publishing
Fecha de publicaci�n: 2017
Idioma: Ingl�s
ISBN 10: 1788293592
ISBN 13: 9781788293594
Encuadernaci�n: paperback
Estado: Good

Acerca de

Sinopsis

Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x

Key Features:

Skill up and implement tricky neural networks using Google's TensorFlow 1.x
An easy-to-follow guide that lets you explore reinforcement learning, GANs, autoencoders, multilayer perceptrons and more.
Hands-on recipes to work with Tensorflow on desktop, mobile, and cloud environment

Book Description:

Deep neural networks (DNNs) have achieved a lot of success in the field of computer vision, speech recognition, and natural language processing. This exciting recipe-based guide will take you from the realm of DNN theory to implementing them practically to solve real-life problems in the artificial intelligence domain.

In this book, you will learn how to efficiently use TensorFlow, Google's open source framework for deep learning. You will implement different deep learning networks, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Deep Q-learning Networks (DQNs), and Generative Adversarial Networks (GANs), with easy-to-follow standalone recipes. You will learn how to use TensorFlow with Keras as the backend. You will learn how different DNNs perform on some popularly used datasets, such as MNIST, CIFAR-10, and Youtube8m. You will not only learn about the different mobile and embedded platforms supported by TensorFlow, but also how to set up cloud platforms for deep learning applications. You will also get a sneak peek at TPU architecture and how it will affect the future of DNNs.

By using crisp, no-nonsense recipes, you will become an expert in implementing deep learning techniques in growing real-world applications and research areas such as reinforcement learning,GANs, and autoencoders.

What You Will Learn:

Leverage different data sets such as MNIST, CIFAR-10, and Youtube8m with TensorFlow and learn how to access and use them in your code
Use TensorBoard to understand neural network architectures, optimize the learning process, and peek inside the neural network black box
Use different regression techniques for prediction and classifi cation problems
Build single and multilayer perceptrons in TensorFlow
Implement a CNN and a RNN in TensorFlow, and use them to solve real-world problems
Learn how Restricted Boltzmann Machines can be used to recommend movies
Understand the implementation of autoencoders and deep belief networks, and use them for emotion detection
Master the different reinforcement learning methods in order to implement game playing agents

Who this book is for:

This book is intended for data analysts, data scientists, machine learning practitioners and deep learning enthusiasts who want to perform deep learning tasks on a regular basis and are looking for a handy guide they can refer to. People who are slightly familiar with neural networks, and now want to gain expertise in working with different types of neural networks and datasets, will find this book quite useful.

Acerca del autor

Antonio Gulli is a transformational software executive and business leader with a passion for establishing and managing global technological talent for innovation and execution. He is an expert in search engines, online services, machine learning, information retrieval, analytics, and cloud computing. So far, he has been lucky enough to gain professional experience in four different countries in Europe and manage teams in six different countries in Europe and America. Currently, he works as site lead and director of cloud in Google Warsaw, driving European efforts for Serverless, Kubernetes, and Google Cloud UX. Previously, Antonio helped to innovate academic search as the vice president for Elsevier, a worldwide leading publisher. Before that, he drove query suggestions and news search as a principal engineer for Microsoft. Earlier, he served as the CTO for Ask.com, driving multimedia and news search. Antonio has filed for 20+ patents, published multiple academic papers, and served as a senior PC member in multiple international conferences. He truly believes that to be successful, you must have a great combination of management, research skills, just-get-it-done, and selling attitude.Amita Kapoor is an associate professor in the Department of Electronics, SRCASW, University of Delhi. She has been actively teaching neural networks for the last 20 years. She did her master's in electronics in 1996 and PhD in 2011. During her PhD, she was awarded the prestigious DAAD fellowship to pursue a part of her research work in Karlsruhe Institute of Technology, Karlsruhe, Germany. She had been awarded the best presentation award at International Conference Photonics 2008 for her paper. She is a member of professional bodies such as OSA (Optical Society of America), IEEE (Institute of Electrical and Electronics Engineers), INNS (International Neural Network Society), and ISBS (Indian Society for Buddhist Studies). Amita has more than 40 publications in international journals and conferences to her credit. Her present research areas include machine learning, artificial intelligence, neural networks, robotics, Buddhism (philosophy and psychology) and ethics in AI.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

bookmans
9550 E Golf Links Rc, tucson, AZ, 85730, U.S.A.

Condiciones de venta y env�o

Condiciones de venta

We guarantee the condition of every book as it's described on the Abebooks web sites. If you're dissatisfied with your purchase (Incorrect Book/Not as Described/Damaged) or if the order hasn't arrived, please contact us at your convenience. If you�ve changed your mind about a book that you�ve ordered, please use the [Ask bookseller a question] link to contact us and we'll respond within 2 business days.

Derecho a cancelaci�n

Si eres un consumidor puedes cancelar el presente contrato de acuerdo con lo indicado a continuaci�n. Son consumidores las personas f�sicas que act�en con un prop�sito ajeno a su actividad comercial, empresarial, oficio o profesi�n.

Documento de informaci�n al consumidor y usuario sobre el desistimiento

Derecho de desistimiento:

Tienes derecho a desistir del presente contrato en un plazo de 14 d�as naturales sin necesidad de justificaci�n.

El plazo de desistimiento expirar� a los 14 d�as naturales del d�a en que t� o un tercero que hayas indicado, distinto del transportista, adquiera la posesi�n material del �ltimo bien, componente o pieza.

Para ejercer el derecho de desistimiento, deber�s notificarnos a Bookmans, 5120 s. julian dr., 85706, tucson, Arizona, U.S.A., 1 5206222591, de tu decisi�n de desistir del contrato a trav�s de una declaraci�n inequ�voca (por ejemplo, una carta enviada por correo postal, fax o correo electr�nico). Podr�s utilizar el modelo de formulario de desistimiento que figura a continuaci�n, aunque su uso no es obligatorio. Tienes asimismo la opci�n de cumplimentar y enviar electr�nicamente el modelo de formulario de desistimiento o cualquier otra declaraci�n inequ�voca a trav�s de nuestro sitio web a "Mis pedidos" en "Mi cuenta". Si recurres a esta opci�n, te comunicaremos sin demora en un soporte duradero (por ejemplo, por correo electr�nico) la recepci�n de dicho desistimiento.

Para cumplir el plazo de desistimiento, basta con que la comunicaci�n relativa al ejercicio por tu parte de este derecho sea enviada antes de que venza el plazo correspondiente.

Consecuencias del desistimiento:

En caso de desistimiento por tu parte, te devolveremos todos los pagos recibidos de ti, incluidos los gastos de entrega (con la excepci�n de los gastos adicionales resultantes de la elecci�n por tu parte de una modalidad de entrega diferente a la modalidad menos costosa de entrega ordinaria que ofrezcamos) sin ninguna demora indebida y, en todo caso, a m�s tardar 14 d�as naturales a partir de la fecha en la que se nos informes de tu decisi�n de desistir del presente contrato. Procederemos a efectuar dicho reembolso utilizando el mismo medio de pago empleado por ti para la transacci�n inicial, a no ser que hayas dispuesto expresamente lo contrario; en todo caso, no incurrir�s en ning�n gasto como consecuencia del reembolso.

Podremos retenerte el reembolso hasta haber recibido los bienes, o hasta que hayas presentado una prueba de la devoluci�n de los mismos, seg�n qu� condici�n se cumpla primero. Deber�s devolvernos o entregarnos directamente los bienes a Bookmans, 5120 s. julian dr, 85706, tucson, Arizona, U.S.A., 1 5206222591, sin ninguna demora indebida y, en cualquier caso, a m�s tardar en el plazo de 14 d�as naturales a partir de la fecha en que nos comuniques tu decisi�n de desistimiento del contrato. Se considerar� cumplido el plazo si efect�as la devoluci�n de los bienes antes de que haya concluido dicho plazo. Deber�s asumir el coste directo de devoluci�n de los bienes. Solo ser�s responsable de la disminuci�n de valor de los bienes resultante de una manipulaci�n distinta a la necesaria para establecer la naturaleza, las caracter�sticas y el funcionamiento de los bienes.

Excepciones al derecho de desistimiento:

La entrega de peri�dicos, publicaciones especializadas o revistas con la excepci�n de contratos de suscripci�n; y
La entrega de contenido digital (incluyendo apps, software digital e-books, MP3, etc.) que no hubiera sido entregado en un medio tangible (por ejemplo: CD o DVD), si al realizar tu pedido has aceptado que podemos proceder al env�o del producto y que no resulta posible su cancelaci�n una vez comienza la entrega.

Modelo de formulario de desistimiento

(S�lo debe cumplimentar y enviar el presente formulario si desea desistir del contrato)

A la atenci�n de: (Bookmans, 5120 s. julian dr., 85706, tucson, Arizona, U.S.A., 1 5206222591)

Por la presente le comunico/comunicamos* que desisto de mi/desistimos de nuestro* contrato de venta del siguiente bien/prestaci�n del siguiente servicio*

Pedido el/recibido el*:

Nombre del consumidor y usuario o de los consumidores y usuarios:

Domicilio del consumidor y usuario o de los consumidores y usuarios:

Firma del consumidor y usuario o de los consumidores y usuarios (solo si el presente formulario se presenta en papel):

Fecha:

* Eliminar en su caso

Condiciones de env�o

Orders usually ship out within 2 business days. Shipping costs are based on books weighing 2.2 LB, or 1 KG. If your book order is heavy or oversized, we may contact you to let you know extra shipping is required.

Tarifas de env�o en Estados Unidos de America

Tarifas de env�o en Estados Unidos de America
Cantidad del pedido	De 4 a 14 d�as h�biles	De 2 a 6 d�as h�biles
Primer art�culo	EUR 3.42	EUR 6.00

Los plazos de entrega los establecen los vendedores y var�an seg�n el transportista y la ubicaci�n. 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 relaci�n con cargos adicionales para cubrir cualquier aumento en los costes de env�o de los art�culos.