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Deep Learning Explained: Research, Application & Future Innovations

Deep Learning Explained: Research, Application & Future Innovations

Paperback

General Education

ISBN13: 9798902691877
Publisher: Notion Press
Published: Jan 13 2026
Pages: 262
Weight: 1.87
Height: 0.68 Width: 8.50 Depth: 11.00
Language: English

Deep Learning Explained: Research Applications and Future Innovation presents a comprehensive journey from fundamental concepts to advanced research and future trends in deep learning, beginning with the foundations of artificial intelligence, mathematical principles, and neural network basics, and progressing through core architectures such as deep feedforward networks, convolutional neural networks, recurrent models, and transformer-based systems. The book emphasizes research methodologies, training strategies, evaluation, and reproducibility, followed by in-depth exploration of real-world applications in healthcare, natural language processing, computer vision, finance, and cybersecurity. It also addresses ethical considerations, challenges, and limitations of deep learning, while highlighting emerging innovations such as self-supervised learning, edge AI, and explainable models, concluding with future research directions, case studies, and pathways for translating academic research into impactful technological innovation.

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Rakesh Pathak

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General Education