ENGLISH

Deep Learning Foundations

Book information

Publisher
Springer
Year
2023
ISBN
3031328787, 9783031328787
Language
english
Format
RAR
Filesize
45 MB (46663121 bytes)
Edition
1st ed. 2023
Pages
446\0
Time added
2023-08-08 04:17:42

Description

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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