Deep Learning Essentials: Concepts, Algorithms and Techniques - Srinivasulu, Ch.;Prasad, M. Lakshmi;Kin, Taufi
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The book "Deep Learning Essentials: Concepts, Algorithms, and Techniques" provides a comprehensive introduction to the fundamental principles and methodologies of deep learning. It is designed for students, researchers, and professionals seeking to understand the theoretical foundations and practical implementations of modern neural network architectures. The book begins with an overview of machine learning basics, including supervised, unsupervised, and reinforcement learning, and then transitions into the core concepts of deep learning such as perceptrons, activation functions, and…mehr

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Produktbeschreibung
The book "Deep Learning Essentials: Concepts, Algorithms, and Techniques" provides a comprehensive introduction to the fundamental principles and methodologies of deep learning. It is designed for students, researchers, and professionals seeking to understand the theoretical foundations and practical implementations of modern neural network architectures. The book begins with an overview of machine learning basics, including supervised, unsupervised, and reinforcement learning, and then transitions into the core concepts of deep learning such as perceptrons, activation functions, and backpropagation. The book discusses techniques for regularization, hyperparameter tuning, and transfer learning, enabling efficient training and generalization.
Autorenporträt
Dr. Chennupalli Srinivasulu is a seasoned professor in the Department of Computer Science and Engineering at the Institute of Aeronautical Engineering (IARE), Hyderabad. With over 22 years of teaching and research experience, he has been serving at IARE since 2020 and previously held positions at several premier institutions in Telangana.