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.
| ISBN: | 9783031328817 |
| Publication date: | 27th July 2024 |
| Author: | Taeho Jo |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Paperback |
| Pagination: | 426 pages |
| Genres: |
Communications engineering / telecommunications Machine learning Pattern recognition Mathematical modelling Artificial intelligence |
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.
Deep Learning Foundations features in the following genres: Communications engineering / telecommunications, Machine learning, Pattern recognition, Mathematical modelling, Artificial intelligence
Deep Learning Foundations is available in Paperback
Deep Learning Foundations was written by Taeho Jo and published by Springer an imprint of Springer International Publishing
Deep Learning Foundations has 426 pages
£98.99