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portada Deep Learning Foundations
Type
Physical Book
Author
Publisher
Language
English
Pages
426
Format
Hardcover
Dimensions
23.4 x 15.6 x 2.5 cm
Weight
0.80 kg.
ISBN13
9783031328787
Edition No.
1

Deep Learning Foundations

Taeho Jo (Author) · Springer · Hardcover

Deep Learning Foundations - Jo, Taeho

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Synopsis "Deep Learning Foundations"

This book provides a conceptual understanding of deep learning algorithms. The book consists of the four parts: foundations, deep machine learning, deep neural networks, and textual deep learning. The first part provides traditional supervised learning, traditional unsupervised learning, and ensemble learning, as the preparation for studying deep learning algorithms. The second part deals with modification of existing machine learning algorithms into deep learning algorithms. The book's third part deals with deep neural networks, such as Multiple Perceptron, Recurrent Networks, Restricted Boltzmann Machine, and Convolutionary Neural Networks. The last part provides deep learning techniques that are specialized for text mining tasks. The book is relevant for researchers, academics, students, and professionals in machine learning.

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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.

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