Deep Learning for Data Analytics: Foundations, Biomedical Applications, and Challenges-P2P
Deep learning, a branch of Artificial Intelligence and machine learning, has led to new approaches to solving problems in a variety of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications and Challenges provides readers with a focused approach for the design and implementation of deep learning concepts using data analytics techniques in large scale environments. Deep learning algorithms are based on artificial neural network models to cascade multiple layers of nonlinear processing, which aids in feature extraction and learning in supervised and unsupervised ways, including classification and pattern analysis. Deep learning transforms data through a cascade of layers, helping systems analyze and process complex data sets

Deep Learning for Data Analytics: Foundations, Biomedical Applications, and Challenges-P2P
English | 2020 | ISBN-13: 978-0128197646 | 218 Pages | PDF | 17.24 MB
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