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2017, Adaptive computation and machine learning., ISBN 9780262035613, xxii, 775 pages
Book
2017, Advances in computer vision and pattern recognition, ISBN 3319429981, xiii, 326 pages
Presenting a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing and... 
Réseaux neuronaux (Informatique) | Data processing | Diagnostic imaging | Neural networks (Computer science) | Informatique | Imagerie pour le diagnostic | Radiology, Medical | Image analysis
Book
Nature medicine, ISSN 1078-8956, 01/2019, Volume 25, Issue 1, pp. 9 - 11
Journal Article
Journal Article
09/2018, 1, ISBN 1484237323, 158
Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and... 
Natural language processing (Computer science) | Machine learning | Python (Computer program language) | Natural Language Processing | Python
eBook
Journal Article
Proceedings of the IEEE, ISSN 0018-9219, 01/2016, Volume 104, Issue 1, pp. 34 - 57
Journal Article
IEEE Intelligent Systems, ISSN 1541-1672, 11/2013, Volume 28, Issue 6, pp. 30 - 59
Journal Article
Nature Biotechnology, ISSN 1087-0156, 10/2018, Volume 36, Issue 9, pp. 829 - 838
Deep learning is beginning to impact biological research and biomedical applications as a result of its ability to integrate vast datasets, learn arbitrarily... 
VARIANTS | PROTEIN SECONDARY STRUCTURE | BIOTECHNOLOGY & APPLIED MICROBIOLOGY | DNA | TRAITS | GENOME | PREDICTION | Humans | Deep Learning | Algorithms | Medicine | Technology application | Usage | Machine learning | Proteins | Learning | Depth indicators | Biomedical materials | Regulators | Pathogenesis | Decision making | Mathematical models | Genetic diversity | Flexibility | Index Medicus
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 12/2018, Volume 40, Issue 12, pp. 2935 - 2947
Journal Article
Neurocomputing, ISSN 0925-2312, 02/2015, Volume 149, pp. 308 - 315
Extreme learning machine (ELM) as an emerging technology has achieved exceptional performance in large-scale settings, and is well suited to binary and... 
Deep learning | Representation learning | Stacked ELMs | DrELM | Extreme learning machine | Stacked generalization | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Machinery | Analysis | Magneto-electric machines | Learning | Tasks | Neural networks | Classification | Regression | Mathematical models | Representations | Feedforward | Philosophy
Journal Article
Proceedings of the ACM Conference on Computer and Communications Security, ISSN 1543-7221, 10/2015, Volume 2015-, pp. 1310 - 1321
Conference Proceeding
Neurocomputing, ISSN 0925-2312, 04/2016, Volume 187, pp. 27 - 48
Deep learning algorithms are a subset of the machine learning algorithms, which aim at discovering multiple levels of distributed representations. Recently,... 
Deep learning | Computer vision | Trends | Applications | Developments | Challenges | NEURAL-NETWORKS | REPRESENTATIONS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Military electronics industry | Algorithms | Machine vision | Neural networks | Machine learning | Data mining | Artificial intelligence | Learning | Retrieval | Semantics | Object recognition | Image detection | Image classification
Journal Article