Deep Learning Essentials: Concepts, Algorithms and Techniques - Ch. Srinivasulu,Taufi Kin,M. Lakshmi Prasad
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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 ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Ch. Srinivasulu, Taufi Kin, M. Lakshmi Prasad |
|---|---|
| Izdevējs | LAP LAMBERT Academic Publishing |
| Izlaides gads | 2025 |
| Vāka tips | Mīkstais vāks |
| EAN | 9786207469628 |