Classification
Classify signal attributes, perform signal segmentation via
sequence-to-sequence classification
Classify signals using data-centric AI workflows.
Apps
Classification Learner | Train models to classify data using supervised machine learning |
Experiment Manager | Design and run experiments to train and compare deep learning networks |
Functions
Blocks
Wavelet Scattering | Model wavelet scattering network in Simulink (Since R2022b) |
Related Information
Topics
- Use Experiment Manager Templates for Signal Processing Workflows (Signal Processing Toolbox)
Set up and run deep learning experiments for signal segmentation, classification, and regression.
- Signal Segmentation by Sweeping Hyperparameters (Signal Processing Toolbox)
- Signal Classification by Sweeping Hyperparameters (Signal Processing Toolbox)
- Signal Classification Using Transfer Learning (Signal Processing Toolbox)
- Signal Regression by Sweeping Hyperparameters (Signal Processing Toolbox)