Applied Deep Learning
Springer International Publishing (Verlag)
978-3-031-04422-9 (ISBN)
lt;p>Prof. Paul Fergus is a Professor in Machine Learning and Dr. Carl Chambers is a Senior Lecturer in the Dept. of Computer Science of Liverpool John Moores University. Their teaching responsibilities include Machine Learning and Data Science. Their research interest includes Applied Machine Learning, Computer Vision, Signal Processing, and Pattern Recognition.
Part 1 Introduction and Overview.- Introduction.- Part 2 Foundations of Mashine Learning.- Fundamentals of Machine Learning.- Supervised Learning.- Un-Supervised Learning.- Performance Evaluation Metrics.- Part 3 Deep Learning Concepts and Techniques.- Introduction to Deep Learning.- Image Classification and Object Detection.- Deep Learning Techniques for Time Series Modelling.- Natural Language Processing.- Deep Generative Models.- Deep Reinforcement Learning.- Part 4 Enterprise Machine Learning.- Accelerated Machine Learning.- Deploying and Hosting Machine Learning Models.- Enterprise Machine Learning Serving.
Erscheinungsdatum | 21.07.2023 |
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Reihe/Serie | Computational Intelligence Methods and Applications |
Zusatzinfo | Illustration |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 565 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Schlagworte | Accelerated Learning • Deep learning • machine learning • Neural networks • RAPIDS (Open GPU Data Science) • tensorflow |
ISBN-10 | 3-031-04422-3 / 3031044223 |
ISBN-13 | 978-3-031-04422-9 / 9783031044229 |
Zustand | Neuware |
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