Python Deep Learning - Third Edition : Understand how deep neural networks work and apply them to real-world tasks

Idioma: inglés

Editorial: Packt Publishing, 2023

1837638500 / 9781837638505

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Master effective navigation of neural networks, including convolutions and transformers, to tackle computer vision and NLP tasks using PythonKey FeaturesUnderstand the theory, mathematical foundations and the structure of deep neural networksBecome familiar with transformers, large language models, and convolutional networksLearn how to apply them on various computer vision and natural language processing problems Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook DescriptionThe field of deep learning has developed rapidly in the past years and today covers broad range of applications. This makes it challenging to navigate and hard to understand without solid foundations. This book will guide you from the basics of neural networks to the state-of-the-art large language models in use today.The first part of the book introduces the main machine learning concepts and paradigms. It covers the mathematical foundations, the structure, and the training algorithms of neural networks and dives into the essence of deep learning.The second part of the book introduces convolutional networks for computer vision. We'll learn how to solve image classification, object detection, instance segmentation, and image generation tasks.The third part focuses on the attention mechanism and transformers - the core network architecture of large language models. We'll discuss new types of advanced tasks, they can solve, such as chat bots and text-to-image generation.By the end of this book, you'll have a thorough understanding of the inner workings of deep neural networks. You'll have the ability to develop new models or adapt existing ones to solve your tasks. You'll also have sufficient understanding to continue your research and stay up to date with the latest advancements in the field.What you will learnEstablish theoretical foundations of deep neural networksUnderstand convolutional networks and apply them in computer vision applicationsBecome well versed with natural language processing and recurrent networksExplore the attention mechanism and transformersApply transformers and large language models for natural language and computer visionImplement coding examples with PyTorch, Keras, and Hugging Face TransformersUse MLOps to develop and deploy neural network modelsWho this book is forThis book is for software developers/engineers, students, data scientists, data analysts, machine learning engineers, statisticians, and anyone interested in deep learning. Prior experience with Python programming is a prerequisite.Table of ContentsMachine Learning - an IntroductionNeural NetworksDeep Learning FundamentalsComputer Vision with Convolutional NetworksAdvanced Computer Vision ApplicationsNatural Language Processing and Recurrent Neural NetworksThe Attention Mechanism and TransformersExploring Large Language Models in DepthAdvanced Applications of Large Language ModelsMachine Learning Operations (ML Ops).

N° de ref. del artículo 9781837638505

Título
Python Deep Learning - Third Edition : Understand how deep neural networks work and apply them to real-world tasks
Autor
Ivan Vasilev
Editorial
Packt Publishing
Año de publicación
2023
Estado
Neu
Encuadernación
Taschenbuch
Idioma
inglés
ISBN 10
1837638500
ISBN 13
9781837638505
Edición
3ª Edición
Peso del artículo
676 gramos
Dimensiones
235x191x20 mm

AHA-BUCH GmbH

Einbeck, Alemania

Vendedor de 5 estrellas

Vendedor de AbeBooks desde 14 de agosto de 2006

Tarifas de envío de Alemania a Estados Unidos de America

ArtículoDe 30 a 40 días hábilesDe 7 a 14 días hábiles
Primer artículoEUR 63,38EUR 73,38
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Einbeck, Alemania 37574