Python Deep learning: Develop your first Neural Network in Python Using TensorFlow, Keras, and PyTorch
Idioma: inglés
Editorial: Independently Published, 2019
- Tapa blanda
- Nuevo

Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
Vendedor de AbeBooks desde 14 de junio de 2006
Condición: Nuevo
EUR 19,42
Cantidad disponible: Más de 20 disponibles
Añadir al carritoDescripción del artículo del vendedor
This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
N° de ref. del artículo C9781092562225
- Título
- Python Deep learning: Develop your first Neural Network in Python Using TensorFlow, Keras, and PyTorch
- Autor
- Samuel Burns
- Editorial
- Independently Published
- Año de publicación
- 2019
- Estado
- New
- Encuadernación
- Paperback / softback
- Idioma
- inglés
- ISBN 10
- 1092562222
- ISBN 13
- 9781092562225
- Peso del artículo
- 236 gramos
Get Your Copy Now!!
Why this book?
Book Objectives
The following are the objectives of this book:
- To help you understand deep learning in detail
- To help you know how to get started with deep learning in Python by setting up the coding environment.
- To help you transition from a deep learning Beginner to a Professional.
- To help you learn how to develop a complete and functional artificial neural network model in Python on your own.
Who this Book is for?
The author targets the following groups of people:
- Anybody who is a complete beginner to deep learning with Python.
- Anybody in need of advancing their Python for deep learning skills.
- Professors, lecturers or tutors who are looking to find better ways to explain Deep Learning to their students in the simplest and easiest way.
- Students and academicians, especially those focusing on python programming, neural networks, machine learning, and deep learning.
What do you need for this Book?
You are required to have installed the following on your computer:
- Python 3.X.
- TensorFlow .
- Keras .
- PyTorch
The Author guides you on how to install the rest of the Python libraries that are required for deep learning.The author will guide you on how to install and configure the rest.
What is inside the book?
- What is Deep Learning?
- An Overview of Artificial Neural Networks.
- Exploring the Libraries.
- Installation and Setup.
- TensorFlow Basics.
- Deep Learning with TensorFlow.
- Keras Basics.
- PyTorch Basics.
- Creating Convolutional Neural Networks with PyTorch.
- Creating Recurrent Neural Networks with PyTorch.
From the back cover.
Deep learning is part of machine learning methods based on learning data representations. This book written by Samuel Burns provides an excellent introduction to deep learning methods for computer vision applications. The author does not focus on too much math since this guide is designed for developers who are beginners in the field of deep learning. The book has been grouped into chapters, with each chapter exploring a different feature of the deep learning libraries that can be used in Python programming language. Each chapter features a unique Neural Network architecture including Convolutional Neural Networks. After reading this book, you will be able to build your own Neural Networks using Tenserflow, Keras, and PyTorch. Moreover, the author has provided Python codes, each code performing a different task. Corresponding explanations have also been provided alongside each piece of code to help the reader understand the meaning of the various lines of the code. In addition to this, screenshots showing the output that each code should return have been given. The author has used a simple language to make it easy even for beginners to understand.
“Sinopsis” puede pertenecer a otra edición de este título.
Reseña del editor
Get Your Copy Now!!
Why this book?
Book Objectives
The following are the objectives of this book:- To help you understand deep learning in detail
- To help you know how to get started with deep learning in Python by setting up the coding environment.
- To help you transition from a deep learning Beginner to a Professional.
- To help you learn how to develop a complete and functional artificial neural network model in Python on your own.
Who this Book is for?
The author targets the following groups of people:- Anybody who is a complete beginner to deep learning with Python.
- Anybody in need of advancing their Python for deep learning skills.
- Professors, lecturers or tutors who are looking to find better ways to explain Deep Learning to their students in the simplest and easiest way.
- Students and academicians, especially those focusing on python programming, neural networks, machine learning, and deep learning.
What do you need for this Book?
You are required to have installed the following on your computer:- Python 3.X.
- TensorFlow .
- Keras .
- PyTorch
What is inside the book?
- What is Deep Learning?
- An Overview of Artificial Neural Networks.
- Exploring the Libraries.
- Installation and Setup.
- TensorFlow Basics.
- Deep Learning with TensorFlow.
- Keras Basics.
- PyTorch Basics.
- Creating Convolutional Neural Networks with PyTorch.
- Creating Recurrent Neural Networks with PyTorch.
From the back cover.
Deep learning is part of machine learning methods based on learning data representations. This book written by Samuel Burns provides an excellent introduction to deep learning methods for computer vision applications. The author does not focus on too much math since this guide is designed for developers who are beginners in the field of deep learning. The book has been grouped into chapters, with each chapter exploring a different feature of the deep learning libraries that can be used in Python programming language. Each chapter features a unique Neural Network architecture including Convolutional Neural Networks. After reading this book, you will be able to build your own Neural Networks using Tenserflow, Keras, and PyTorch. Moreover, the author has provided Python codes, each code performing a different task. Corresponding explanations have also been provided alongside each piece of code to help the reader understand the meaning of the various lines of the code. In addition to this, screenshots showing the output that each code should return have been given. The author has used a simple language to make it easy even for beginners to understand.“Acerca de” puede pertenecer a otra edición de este título.
THE SAINT BOOKSTORE
Southport, Reino Unido
Vendedor de AbeBooks desde 14 de junio de 2006
Tarifas de envío de Reino Unido a Estados Unidos de America
| Artículo | De 7 a 28 días hábiles | De 7 a 28 días hábiles |
|---|---|---|
| Primer artículo | EUR 15,23 | EUR 17,55 |
Métodos de pago
Descripción de la tienda
The Saint Bookstore has a range of over 1 million titles available.
Especialidad
GeneralInformación empresarial del vendedor
SB ONLINE LTD
50 Devonshire Road
Southport, Reino Unido PR9 7BZ
Condiciones de venta
Please order through the Abebooks checkout. We only take orders through Abebooks - We don't take direct orders by email or phone.
Refunds or Returns: A full refund of the purchase price will be given if returned within 30 days in undamaged condition.
As a seller on abebooks we adhere to the terms explained at http://www.abebooks.co.uk/docs/HelpCentral/buyerIndex.shtml - if you require further assistance please email us at orders@thesaintbookstore.co.uk
Derecho al desistimiento
Si es un consumidor, puede rescindir el contrato de acuerdo con lo siguiente. Por consumidor se entiende cualquier persona física que actúe con fines ajenos a su actividad comercial, empresarial, oficio o profesión.
Información sobre el derecho de desistimiento
Derecho legal de desistimiento
Tiene derecho a rescindir este contrato en un plazo de 14 días sin dar ningún motivo.
El periodo de desistimiento vencerá a los 14 días desde que usted, o un tercero que no sea el transportista e indicado por usted, adquiera la posesión física del último bien o del último lote o pieza.
Para ejercer el derecho de desistimiento, complete de forma electrónica y envíe una declaración clara en nuestro sitio web, desde "Mis compras" en "Mi cuenta". Le enviaremos sin demora un acuse de recibo de dicho desistimiento a través de un soporte duradero (por ejemplo, por correo electrónico).
Para cumplir con el plazo de desistimiento, basta con que envíe su comunicación 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 envío (excepto los gastos adicionales que surjan si elige un tipo de envío que no sea el tipo de envío estándar más económico que ofrecemos).
Podemos hacer una deducción del reembolso por la pérdida de valor de cualquier bien suministrado, si la pérdida es el resultado de una manipulación innecesaria por su parte.
Efectuaremos el reembolso sin demoras indebidas y, a más tardar, 14 días después de que se nos informe de su decisión de rescindir este contrato.
Efectuaremos el reembolso utilizando el mismo medio de pago que utilizó para la transacción inicial, a menos que haya acordado expresamente lo contrario; en cualquier caso, no incurrirá en ningún 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.
Deberá devolver los bienes o entregarlos a THE SAINT BOOKSTORE, Southport, United Kingdom, sin demoras indebidas y, en cualquier caso, en un plazo máximo de 14 días a partir del día en que nos comunique su desistimiento del presente contrato. El plazo se cumple si devuelve la mercancía antes de que venza el periodo de 14 días. Tendrá que asumir los gastos directos de devolución de los bienes. Usted solo es responsable de la disminución del valor de los bienes como resultado de una manipulación distinta a la necesaria para establecer la naturaleza, las características y el funcionamiento de los bienes.
Excepciones al derecho de desistimiento
El derecho de desistimiento no se aplica a lo siguiente:
- La entrega de periódicos, diarios o revistas, con la excepción de los contratos de suscripción; 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, aceptó que podíamos empezar a entregarlo y que no podría desistir una vez iniciada la entrega.
Condiciones de envío
Most orders usually ship within 1-3 business days, but some can take up to 7 days.