Fault-Detection-Using-Deep-Learning-Classification

example

This demo shows how to prepare, model, and deploy a deep learning LSTM based classification algorithm to identify the condition or output of a mechanical air compressor.

How to download and setup Fault-Detection-Using-Deep-Learning-Classification

Open terminal and run command

git clone https://github.com/matlab-deep-learning/Fault-Detection-Using-Deep-Learning-Classification.git

git clone is used to create a copy or clone of Fault-Detection-Using-Deep-Learning-Classification repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with Fault-Detection-Using-Deep-Learning-Classification https://github.com/matlab-deep-learning/Fault-Detection-Using-Deep-Learning-Classification/archive/master.zip

Or simply clone Fault-Detection-Using-Deep-Learning-Classification with SSH

[email protected]:matlab-deep-learning/Fault-Detection-Using-Deep-Learning-Classification.git

If you have some problems with Fault-Detection-Using-Deep-Learning-Classification

You may open issue on Fault-Detection-Using-Deep-Learning-Classification support forum (system) here: https://github.com/matlab-deep-learning/Fault-Detection-Using-Deep-Learning-Classification/issues

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