Getting Started with Neural Networks Using MATLAB
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=6T2yYTSw8z0
A neural network is an adaptive system that learns by using interconnected nodes. Neural networks are useful in many applications: you can use them for clustering, classification, regression, and time-series predictions. In this video, you’ll walk through an example that shows what neural networks are and how to work with them in MATLAB®. The video outlines how to train a neural network to classify human activities based on sensor data from smartphones. • You’ll also learn how to create a network; prepare data; train, validate and improve your network; and update your network and deploy it. • Additional Info: • Neural network examples: https://bit.ly/35whH2N • More info about using MATLAB for deep learning: https://bit.ly/3fFL9Gn • MATLAB for machine learning: https://bit.ly/3dfVuan • Free machine learning trial: https://bit.ly/37EANUa • Deep learning examples: https://bit.ly/2NKwjCi • GitHub files: https://github.com/mathworks/matlab-w... • -------------------------------------------------------------------------------------------------------- • Get a free product trial: https://goo.gl/ZHFb5u • Learn more about MATLAB: https://goo.gl/8QV7ZZ • Learn more about Simulink: https://goo.gl/nqnbLe • See what's new in MATLAB and Simulink: https://goo.gl/pgGtod • © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. • See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
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