Name: Multi-faceted Deep Learning (en Inglés)
SKU: 63494708
Price: 51.71 USD
Availability: InStock
Author: Akka Zemmari;Jenny Benois-Pineau

portada Multi-faceted Deep Learning (en Inglés)

Formato

Libro Físico

Editorial

Springer Nature B.V.

Autor

Akka Zemmari;Jenny Benois-Pineau

Año

2021

Idioma

Inglés

N° páginas

330

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6 cm

ISBN13

9783030744793

Multi-faceted Deep Learning (en Inglés)

Akka Zemmari;Jenny Benois-Pineau (Autor) · Springer Nature B.V. · Tapa Blanda

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Reseña del libro "Multi-faceted Deep Learning (en Inglés)"

This book covers a large set of methods in the field of Artificial Intelligence - Deep Learning applied to real-world problems. The fundamentals of the Deep Learning approach and different types of Deep Neural Networks (DNNs) are first summarized in this book, which offers a comprehensive preamble for further problem-oriented chapters.

The most interesting and open problems of machine learning in the framework of Deep Learning are discussed in this book and solutions are proposed. This book illustrates how to implement the zero-shot learning with Deep Neural Network Classifiers, which require a large amount of training data. The lack of annotated training data naturally pushes the researchers to implement low supervision algorithms. Metric learning is a long-term research but in the framework of Deep Learning approaches, it gets freshness and originality. Fine-grained classification with a low inter-class variability is a difficult problem for any classification tasks. This book presents how it is solved, by using different modalities and attention mechanisms in 3D convolutional networks.

Researchers focused on Machine Learning, Deep learning, Multimedia and Computer Vision will want to buy this book. Advanced level students studying computer science within these topic areas will also find this book useful.