Exploring Deep Learning Models: Concepts and Applications - Couverture souple

Sarkar, Souradeep; Dutta, Samhita

Couverture souple

ISBN 10 : 6630342232 ISBN 13 : 9786630342239

Editeur : LAP LAMBERT Academic Publishing, 2026

Synopsis

Exploring Deep Learning Models: Concepts and Applications provides a comprehensive introduction to deep learning, covering its fundamentals, mathematical foundations, neural network architectures, and real-world applications. The book explains key models such as Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), LSTMs, GRUs, Graph Neural Networks (GNNs), Graph Convolutional Networks (GCNs), Autoencoders, Generative Adversarial Networks (GANs), and Transformers. It combines theoretical concepts with practical Python implementations using TensorFlow, Keras, and PyTorch. The book also explores applications in computer vision, natural language processing, healthcare, finance, agriculture, robotics, IoT, and smart systems, while discussing emerging topics such as Explainable AI (XAI), transfer learning, and ethical AI, making it a valuable resource for students, researchers, educators, and professionals.

A propos du livre

À propos de l'auteur

Mr. Souradeep Sarkar is an Assistant Professor at Brainware University, Kolkata, and a Ph.D. scholar at KIIT University. He has 11 years of teaching experience, authored 13+ research papers and three books, and specializes in Deep Learning, AI, Machine Learning, Data Science, Software Engineering, and IoT. He is a Life Member of the ISTE.

Détails de l'édition

• Éditeur: LAP LAMBERT Academic Publishing
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 6630342232
• ISBN 13: 9786630342239
• Reliure: Taschenbuch
• Nombre de pages: 260
• Coordonnées du fabricant: non disponible
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