Applied Deep Learning by Paul Fergus
This book focuses on the applied aspects of artificial intelligence using enterprise frameworks and technologies. It will be valuable for undergraduate and postgraduate students in subjects such as artificial intelligence and data science, and also for industrial practitioners engaged with data analytics and machine learning tasks.-
Data-Driven Waste Revolution
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Hesitant Fuzzy Set
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Metaheuristics for Machine Learning
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Intelligent Automation in Renewable Energy
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Intelligent Computing in Carcinogenic Disease Detection
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Neural Networks with Model Compression
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Construct, Merge, Solve & Adapt
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Hybrid Soft Computing for Multilevel Image and Data Segmentation
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Advanced Spiking Neural P Systems
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Decision Support for Product Development
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Advanced Machine Learning with Evolutionary and Metaheuristic Techniques
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Explainable AI in Health Informatics
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.
| SKU | Unavailable |
| ISBN 13 | 9783031044229 |
| ISBN 10 | 3031044223 |
| Title | Applied Deep Learning |
| Author | Paul Fergus |
| Series | Computational Intelligence Methods And Applications |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer International Publishing AG |
| Year published | 2023-07-20 |
| Number of pages | 341 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |