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Více informací o knize Exploring Deep Learning Models

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Nákupem získáte 259 bodů

Anotace knihy

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.

Parametry knihy

• Plný název: Exploring Deep Learning Models
• Podnázev: Concepts and Applications
• Autor: Souradeep Sarkar, Samhita Dutta
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 260
• EAN: 9786630342239
• ISBN: 6630342232
• ID: 53772798
• Nakladatelství: KS OmniScriptum Publishing
• Hmotnost: 354 g
• Rozměry: 229 × 152 × 15 mm
• Datum vydání: 10. August 2026

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