Dimensionality reduction for images of IoT using machine learning
This section describes the experiments and the results. Experiment preparation In our approach, a dataset comprising 6000 images has been used to train the autoencoder. The trained model will be used in the experiments to perform dimensionality reduction with the image data at the edge. The training performed on a machine has the following benefits: …