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Exploring Deep Learning Models: Concepts and Applications

Exploring Deep Learning Models: Concepts and Applications

Paperback

General Computers

ISBN10: 6630342232
ISBN13: 9786630342239
Publisher: LAP Lambert Academic Publishing
Published: Aug 10 2026
Pages: 260
Weight: 0.78
Height: 0.59 Width: 6.00 Depth: 9.00
Language: English
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.

Also from

Sarkar, Souradeep

Also in

General Computers