Introduction to Deep Learning: Theory and Practice - Couverture souple

Mudarakola, Lakshmi Prasad; M, Padmaja

Couverture souple

ISBN 10 : 6208438233 ISBN 13 : 9786208438234

Editeur : LAP LAMBERT Academic Publishing, 2025

Synopsis

The Deep Learning textbook provides a comprehensive introduction to the field of deep learning—a branch of machine learning focused on algorithms inspired by the structure and function of the brain's neural networks. It covers foundational topics such as linear algebra, probability, and information theory before delving into core deep learning concepts, including neural networks, optimization techniques, and regularization.Advanced topics include convolutional networks, sequence modeling (such as RNNs), generative models, and deep reinforcement learning. The book also explores theoretical foundations and future directions in deep learning research.Written by leading experts, this textbook is widely used in both academia and industry, offering practical insights alongside deep theoretical knowledge. It’s ideal for students, researchers, and professionals looking to understand and apply deep learning techniques.

Détails de l'édition

• Éditeur: LAP LAMBERT Academic Publishing
• Date d'édition: 2025
• Langue: anglais
• ISBN 10: 6208438233
• ISBN 13: 9786208438234
• Reliure: Broché
• Nombre de pages: 76
• Coordonnées du fabricant: non disponible
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