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
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