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image for course Signal Classification with Deep Learning

Signal Classification with Deep Learning

Learn the workflow for using deep networks to classify ordered sequences of data, such as signals, time series, or sensor data. The workflow includes preparing your data, choosing training options specific to signals, and creating a network architecture with recurrent layers.

Course modules

Introduction

Get an overview of the course.

Lessons:
  • Course Overview
  • Outline and Learning Outcomes
  • Course Example: Classify Flooding Severity

Import Signals in Labeled Subfolders

Use datastores to import signals and their corresponding labels.

Lessons:
  • Import Signals with a Datastore
  • Import Signal Labels
  • Visualize Signal Data Set
  • Read in Data Set that Fits in Memory

Prepare Training Inputs

Create all the components needed to train a signal classification network.

Lessons:
  • Training Inputs
  • Train, Test, and Validation Data
  • Recurrent Networks
  • Create LSTM Architecture
  • Training Options

Train and Evaluate a Signal Classification Network

Train a deep network for signal classification using basic inputs. Then predict with the network and evaluate its performance.

Lessons:
  • Network Training Function
  • Train the Network
  • Evaluate Network

Adjust Training Inputs to Improve the Network

Learn techniques to improve your deep network, focusing on techniques that are specific to signal applications.

Lessons:
  • Improve Network Performance Overview
  • Impact of Sequence Length
  • Standardize Sequence Length
  • Epochs and Mini Batches
  • Bidirectional Recurrent Layers
  • Adjust Training Inputs

Conclusion

Learn next steps and give feedback on the course.

Lessons:
  • Summary
  • Additional Resources
  • Survey

Format:Self-paced

Language:English

Language

  • Hands-on exercises with automated feedback
  • Access to MATLAB through your web browser
  • Shareable progress report and course certificate

Deep Learning Onramp

Get started quickly using deep learning methods to perform image recognition.

Signal Segmentation with Deep Learning

Adapt the signal classification workflow to create deep networks that classify each time step of a signal.

MATLAB Onramp

Get started quickly with the basics of MATLAB.

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