BOOKS - PROGRAMMING - MATLAB Deep Learning Toolbox User’s Guide (R2022b)
MATLAB Deep Learning Toolbox User’s Guide (R2022b) - Beale M.H., Hagan M.T., Demuth H.B. 2022 PDF The MathWorks, Inc. BOOKS PROGRAMMING
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MATLAB Deep Learning Toolbox User’s Guide (R2022b)
Author: Beale M.H., Hagan M.T., Demuth H.B.
Year: 2022
Number of pages: 4452
Format: PDF
File size: 94,7 MB
Language: ENG

Deep Learning (DL) is a branch of Machine Learning (ML) that teaches computers to do what comes naturally to humans: learn from experience. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model. Deep Learning is especially suited for image recognition, which is important for solving problems such as facial recognition, motion detection, and many advanced driver assistance technologies such as autonomous driving, lane detection, pedestrian detection, and autonomous parking.Deep Learning Toolbox provides simple MATLAB commands for creating and interconnecting the layers of a deep neural network. Examples and pretrained networks make it easy to use MATLAB for deep learning, even without knowledge of advanced computer vision algorithms or neural networks.

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