Deep Learning
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The Science of Deep Learning: AI Concepts & Applications 2023
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Machine & Deep Learning Using MATLAB: Advanced AI Applications 2023
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Deep Reinforcement Learning & Its Industrial Use Cases: AI for Real-World Applications (2024)
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Deep Learning with JAX: A Practical Guide (Manning, 2024)
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Deep Learning with PyTorch: Step-by-Step Beginner’s Guide (Independently Published, 2024)
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Deep Learning Theory & Applications: Advances in AI Research (Springer, 2023)
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Mathematical Engineering of Deep Learning: AI & Computational Intelligence (CRC Press, 2024)
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Deep Learning for Multimedia Processing: Signal Processing & Pattern Recognition (Springer, 2024)
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Deep Learning Concepts in Operations Research: Advances in AI & Optimization (2024)
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Session-Based Recommender Systems Using Deep Learning (Springer, 2023)
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Deep Learning Foundations & Concepts: A Beginner’s Guide (Springer, 2023)
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Deep Learning for Swift & Enhanced Results: 2nd Edition (Packt, 2024)
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Deep Learning for 3D Point Clouds: Advanced AI Techniques (2024)
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Hands-on Deep Learning: Real-World Projects & Applications (Apress, 2024)
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Deep Learning for Medical Image Analysis (The MICCAI Society Book Series) (Academic Press, 2023)
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Understanding Deep Learning: A Comprehensive Introduction (MIT Press, 2024)
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Understanding Deep Learning: Theories & Applications (MIT Press, 2024)
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Deep Learning for 3D Vision: Algorithms & Applications (2024)
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Deep Learning for Engineers: Practical AI & ML Applications (CRC Press, 2023)
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Beginning Anomaly Detection: Python-Based Deep Learning with Keras & PyTorch (Apress, 2024)
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jQuery Coding & Deep Learning with Python: A Beginner’s Guide (Independently Published, 2024)
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Shallow Learning vs. Deep Learning: A Comparative Approach (Springer, 2024)
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Session-Based Recommender Systems: Deep Learning Techniques (Springer Cham, 2023)
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Beginning Anomaly Detection: Deep Learning & Python-Based Solutions (Apress, 2023)
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Deep Learning: A Practical Introduction (Wiley, 2024)
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Applied Deep Learning: Tools, Techniques & Implementation (Springer, 2022)
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Machine Learning & Data Science: Fundamentals & Applications (Wiley-Scrivener)
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Many-Sorted Algebras for Deep Learning & Quantum Technology (Morgan Kaufmann Elsevier, 2024)
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