Description
Deep Learning: Algorithms and Applications provides a thorough introduction to deep learning concepts and their practical implementations. Written by R. Ramalakshmi, T. Marimuthu, and Vaibhav Gandhi, this first edition explores the theoretical foundations and algorithmic approaches that power modern artificial intelligence systems.
The book covers essential topics including neural networks, convolutional architectures, recurrent models, and optimization techniques. Each chapter combines theoretical explanations with practical applications, enabling readers to understand how deep learning solves real-world problems. The content is structured for both beginners and intermediate learners seeking to build expertise in machine learning and AI technologies.
Published by Cengage Learning India Private Limited, this text serves as an invaluable resource for computer science students, data scientists, and AI practitioners looking to master deep learning principles and their implementations in various domains.
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