ENGLISH

Neural Networks and Deep Learning: A Textbook

By Charu C. Aggarwal

Book information

Publisher
Springer
Year
2023
ISBN
9783031296420, 9783031296413, 9783031296444
DOI
10.1007/978-3-031-29642-0
Language
english
Format
PDF
Filesize
16 MB (16613480 bytes)
Edition
2
Pages
529\542
Topic
Computers\\Cybernetics: Artificial Intelligence
Orientation
yes
Scanned
no
Time added
2025-01-20 06:01:13
artificial intelligenceDeep LearningNeural Networks

Description

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work? When do they work better than off-the-shelf machine-learning models? When is depth useful? Why is training neural networks so hard? What are the pitfalls? The book is also rich in discussing different applications in order to give the practitioner a flavor of how neural architectures are designed for different types of problems. Deep learning methods for various data domains, such as text, images, and graphs are presented in detail

Similar books