Additional Tutorials

• Loading a Trained Neuron Array
  • Try It Yourself
• TensorFlow Lite Tutorial
  • Overview: Using SensiML with TensorFlow Lite for Microcontrollers
  • Objectives
  • Creating a Model to Classify Gestures
  • Live Model Validation
  • Summary
• Using Segmentation Algorithms
  • Try It Yourself
  • Sliding Window
  • Threshold Based Segmentation
  • Filter Based Segmentation
• Segmentation Parameter Selection
  • Try It Yourself
  • Prerequisites
  • Overview
  • 1 Load a .DCLPROJ file into the Python SDK using the DCLProject API
  • 2 Upload a .DCLPROJ file using the Python SDK Client
  • 3 Visualize the threshold space for segmentation algorithms and select an appropriate threshold
  • 4 Run the Segmentation algorithm and compare the generated segments to the ground truth
  • 5 Compare the generated segments to the manually labled ground truth
• Apply Ground Truth to Generated Segments
  • Try It Yourself
  • Prerequisites
  • Connecting to a Data Studio project
  • 1 Load a .DCLPROJ file into the Python SDK using the DCLProject API
  • 2 Upload a .DCLPROJ file using the Python SDK Client
  • 3 Compare the segments in the “Training Session” and “Predicted Session”
  • 4 Visualize the segments against the raw sensor data using the plot_segments API
  • 5 Update the predicted segments with the closest labels from the “Ground Truth” Session
  • 6 Upload the new predicted segments
• Application Tutorials
  • Example Notebooks