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Deep Learning Applications : Select Topics - Laith Abualigah

Deep Learning Applications

Select Topics

By: Laith Abualigah (Editor)

eText | 13 May 2026 | Edition Number 1

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Available: 13th May 2026

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A comprehensive compilation that explores a wide range of applications where deep learning techniques have had impact and its practical uses. The book covers fields like healthcare, finance, autonomous systems, and more. The methodologies such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), and reinforcement learning, have been included.

In healthcare deep learning is used for medical image analysis, disease prediction, and personalized medicine. In the financial sector, aspects like fraud detection, algorithmic trading, and risk management are reviewed. Also autonomous systems, including self-driving cars and drones are explored.

Each chapter includes detailed case studies, experimental results, and insights from leading experts, offering readers both foundational knowledge and advanced techniques. The book serves as a valuable resource for researchers, practitioners, and students seeking to understand the breadth and depth of deep learning applications.

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You Can Find This eBook In

Non-FictionComputing & I.T.Computer ScienceArtificial IntelligenceComputer Programming & Software DevelopmentAlgorithms & Data StructuresComputer SecurityInformation Technology General IssueEthical & Social Aspects of ITDatabasesData MiningLegal Aspects of IT
Engineering & TechnologyElectronics & Communications EngineeringElectronics EngineeringAutomatic Control Engineering

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