T�tulo: PyTorch Deep Learning Hands-On: Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily
Editor: Packt Publishing 2019-04-30
Fecha de publicaci�n: 2019
Idioma: Ingl�s
ISBN 10: 1788834135
ISBN 13: 9781788834131
Encuadernaci�n: Paperback
Estado: New

Acerca de

Sinopsis

Hands-on projects cover all the key deep learning methods built step-by-step in PyTorch

Key Features

Internals and principles of PyTorch
Implement key deep learning methods in PyTorch: CNNs, GANs, RNNs, reinforcement learning, and more
Build deep learning workflows and take deep learning models from prototyping to production

Book Description

PyTorch Deep Learning Hands-On is a book for engineers who want a fast-paced guide to doing deep learning work with Pytorch. It is not an academic textbook and does not try to teach deep learning principles. The book will help you most if you want to get your hands dirty and put PyTorch to work quickly.

PyTorch Deep Learning Hands-On shows how to implement the major deep learning architectures in PyTorch. It covers neural networks, computer vision, CNNs, natural language processing (RNN), GANs, and reinforcement learning. You will also build deep learning workflows with the PyTorch framework, migrate models built in Python to highly efficient TorchScript, and deploy to production using the most sophisticated available tools.

Each chapter focuses on a different area of deep learning. Chapters start with a refresher on how the model works, before sharing the code you need to implement them in PyTorch.

This book is ideal if you want to rapidly add PyTorch to your deep learning toolset.

What you will learn

Use PyTorch to build:

Simple Neural Networks – build neural networks the PyTorch way, with high-level functions, optimizers, and more
Convolutional Neural Networks – create advanced computer vision systems
Recurrent Neural Networks – work with sequential data such as natural language and audio
Generative Adversarial Networks – create new content with models including SimpleGAN and CycleGAN
Reinforcement Learning – develop systems that can solve complex problems such as driving or game playing
Deep Learning workflows – move effectively from ideation to production with proper deep learning workflow using PyTorch and its utility packages
Production-ready models – package your models for high-performance production environments

Who this book is for

Machine learning engineers who want to put PyTorch to work.

Deep Learning Walkthrough and PyTorch Introduction
A Simple Neural Network
Deep Learning Workflow
Computer Vision
Sequential Data Processing
Generative Networks
Reinforcement Learning
PyTorch to Production

Acerca de los autores

Sherin Thomas started his career as an information security expert and shifted his focus to deep learning-based security systems. He has helped several companies across the globe to set up their AI pipelines and worked recently for CoWrks, a fast-growing start-up based out of Bengaluru. Sherin is working on several open source projects including PyTorch, RedisAI, and many more, and is leading the development of TuringNetwork.ai. Currently, he is focusing on building the deep learning infrastructure for [tensor]werk, an Orobix spin-off company.

Sudhanshu Passi is a technologist employed at CoWrks. Among other things, he has been the driving force behind everything related to machine learning at CoWrks. His expertise in simplifying complex concepts makes his work an ideal read for beginners and experts alike. This can be verified by his many blogs and this debut book publication. In his spare time, he can be found at his local swimming pool computing gradient descent underwater.

Liao Xingyu is pursuing his master's degree in University of Science and Technology of China (USTC). He has ever worked in Megvii.inc and JD AI lab as an intern. He has published a Chinese PyTorch book named Learn Deep Learning with PyTorch in China.

Bharath G. S. is an independent machine learning researcher and he currently works with glib.ai as a machine learning engineer. He also collaborates with mcg. ai as a machine learning consultant. His main research areas of interest include reinforcement learning, natural language processing, and cognitive neuroscience. Currently, he's researching the issue of algorithmic fairness in decision making. He's also involved in the open source development of the privacy-preserving machine learning platform OpenMined as a core collaborator, where he works on private and secure decentralized deep learning algorithms. You can also find some of the machine learning libraries that he has co-authored on PyPI, such as parft, NALU, and pysyft.

"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

WRAP Ltd
Unit 4, 119 Loverock Rd, Reading, RG30 1DZ, United Kingdom

Condiciones de venta y env�o

Condiciones de venta

TBA

Derecho al desistimiento

Si es un consumidor, puede rescindir el contrato de acuerdo con lo siguiente. Por consumidor se entiende cualquier persona f�sica que act�e con fines ajenos a su actividad comercial, empresarial, oficio o profesi�n.

Informaci�n sobre el derecho de desistimiento

Derecho legal de desistimiento

Tiene derecho a rescindir este contrato en un plazo de 14 d�as sin dar ning�n motivo.

El periodo de desistimiento vencer� a los 14 d�as desde que usted, o un tercero que no sea el transportista e indicado por usted, adquiera la posesi�n f�sica del �ltimo bien o del �ltimo lote o pieza.

Para ejercer el derecho de desistimiento, complete de forma electr�nica y env�e una declaraci�n clara en nuestro sitio web, desde "Mis compras" en "Mi cuenta". Le enviaremos sin demora un acuse de recibo de dicho desistimiento a trav�s de un soporte duradero (por ejemplo, por correo electr�nico).

Para cumplir con el plazo de desistimiento, basta con que env�e su comunicaci�n relativa al ejercicio del derecho de desistimiento antes de que venza el periodo de desistimiento.

Efectos del desistimiento

Si rescinde este contrato, le reembolsaremos todos los pagos que hayamos recibido de usted, incluidos los gastos de env�o (excepto los gastos adicionales que surjan si elige un tipo de env�o que no sea el tipo de env�o est�ndar m�s econ�mico que ofrecemos).

Podemos hacer una deducci�n del reembolso por la p�rdida de valor de cualquier bien suministrado, si la p�rdida es el resultado de una manipulaci�n innecesaria por su parte.

Efectuaremos el reembolso sin demoras indebidas y, a m�s tardar, 14 d�as despu�s de que se nos informe de su decisi�n de rescindir este contrato.

Efectuaremos el reembolso utilizando el mismo medio de pago que utiliz� para la transacci�n inicial, a menos que haya acordado expresamente lo contrario; en cualquier caso, no incurrir� en ning�n cargo como resultado de dicho reembolso.

Podremos retener el reembolso hasta que hayamos recibido los bienes o hasta que nos haya presentado una prueba de que los ha devuelto, lo que ocurra primero.

Deber� devolver los bienes o entregarlos a Chiron Media, Wallingford, United Kingdom, sin demoras indebidas y, en cualquier caso, en un plazo m�ximo de 14 d�as a partir del d�a en que nos comunique su desistimiento del presente contrato. El plazo se cumple si devuelve la mercanc�a antes de que venza el periodo de 14 d�as. Tendr� que asumir los gastos directos de devoluci�n de los bienes. Usted solo es responsable de la disminuci�n del valor de los bienes como resultado 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

El derecho de desistimiento no se aplica a lo siguiente:

La entrega de peri�dicos, diarios o revistas, con la excepci�n de los contratos de suscripci�n; y
El suministro de contenido digital que no se proporcione en un soporte tangible (por ejemplo, en un CD o DVD) si, al hacer el pedido, acept� que pod�amos empezar a entregarlo y que no podr�a desistir una vez iniciada la entrega.

Condiciones de env�o

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 de Reino Unido a Estados Unidos de America

Tarifas de env�o de Reino Unido a Estados Unidos de America
Cantidad del pedido	De 14 a 21 d�as h�biles	De 14 a 21 d�as h�biles
Primer art�culo	EUR 17.85	EUR 17.85

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.