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2017, Adaptive computation and machine learning., ISBN 9780262035613, xxii, 775 pages
Book
ACM Computing Surveys (CSUR), ISSN 0360-0300, 06/2017, Volume 50, Issue 2, pp. 1 - 35
Journal Article
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 large-scale radiology database mining... 
Réseaux neuronaux (Informatique) | Data processing | Diagnostic imaging | Neural networks (Computer science) | Informatique | Imagerie pour le diagnostic | Radiology, Medical | Image analysis
Book
2019, 1, ISBN 9781484253489, 563
.... This book shows you how to build a deep learning pipeline for real-life TensorFlow projects... 
Machine Learning | Deep Learning | Professional and Applied Computing | Artificial Intelligence | Computer Science
eBook
American journal of neuroradiology : AJNR, ISSN 1936-959X, 10/2018, Volume 39, Issue 10, pp. 1776 - 1784
Deep learning is a form of machine learning using a convolutional neural network architecture that shows tremendous promise for imaging applications... 
Neuroimaging | Clinical Neurology | Neurosciences & Neurology | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Index Medicus | Adult Brain | Editor's Choice
Journal Article
Journal of computational chemistry, ISSN 0192-8651, 06/2017, Volume 38, Issue 16, pp. 1291 - 1307
Journal Article
Neural networks, ISSN 0893-6080, 01/2015, Volume 61, pp. 85 - 117
In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning... 
Deep learning | Supervised learning | Unsupervised learning | Reinforcement learning | Evolutionary computation | Artificial Intelligence - classification | Artificial Intelligence - standards | Artificial Intelligence - trends | Neural networks | Machine learning | Index Medicus
Journal Article