Introduction to Neural Networks with MATLAB

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-with-python -------------------------------------------------------------------------------------------------------- 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.