Description
Deep Learning is a practical guide to understanding and implementing deep neural networks. This first edition by S. Sridhar and D. Narashiman provides a thorough introduction to the field, covering foundational concepts through advanced techniques.
The book explores neural network architectures, activation functions, backpropagation algorithms, and optimization methods essential for modern machine learning. Readers will discover how to build effective models for image recognition, natural language processing, and other applications.
Published by Pearson Education, this text combines theoretical knowledge with hands-on examples, making it suitable for students and professionals seeking to master deep learning. The structured approach ensures accessibility for beginners while providing depth for experienced practitioners.
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