PerceptiLabs
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  • Welcome
  • ⚡Getting Started
    • Quickstart Guide
      • Requirements
      • Installation
      • Video Tutorials
    • Load and Pre-process Data
    • Build Models
    • Train Models
    • Evaluate Models
    • Export and Deploy Models
    • Manage, Version, and Track Models
  • 🙏How to Contribute
    • Datasets
    • Models
    • Components
  • 👨‍🍳Tutorials
    • Basic Image Recognition
    • Basic Image Segmentation
  • 🛠️Advanced
    • Common Testing Issues
    • Common Training Issues
    • Components
      • Input and Target
      • Processing
      • Deep Learning
      • Operations
      • Custom
    • CSV File Format
    • Debugging and Diagnostic Features
    • How PerceptiLabs Works With TensorFlow
    • Included Packages
    • Types of Tests
    • UI Overview
      • Data Wizard
      • Overview Screen
      • Model Training Settings
      • Modeling Tool
      • Training View
      • Evaluate View
      • Deploy View
    • Using the Exported/Deployed Model
  • 💡Use Cases
    • General
      • A Guide to Using U-Nets for Image Segmentation
      • A Voice Recognition model using Image Recognition
    • Environmental
      • Automated Weather Analysis Using Image Recognition
      • Wildfire Detection
    • Healthcare & Medical
      • Brain Tumor Detection
      • Breast Cancer Detection
      • Classifying Chest X-Rays to Detect Pneumonia
      • Classifying Ways to Wear a Face Mask
      • Detecting Defective Pills
      • Highlighting Blood Cells in Dark-field Microscopy Using Image Segmentation
      • Ocular Disease Recognition
      • Retinal OCT
      • Skin Cancer Classification
    • Industrial IoT & Manufacturing
      • Air Conditioner Piston Check
      • Classifying Fruit
      • Classifying Wood Veneers Into Dry and Wet
      • Defect Detection in Metal Surfaces
      • Fabric Stain Classification
  • 📖Support
    • FAQs
    • Changelog
  • Code of Conduct
  • Marketing Site
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  1. Advanced
  2. UI Overview

Modeling Tool

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Last updated 3 years ago

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The Modeling Tool encompasses the workspace where you edit your models. This includes the toolbar, Component dropdowns, Components Pane, and the Code Editor.

Modeling Tool Toolbar

Key elements of the Modeling Tool Toolbar:

  1. Undo/redo: performs an undo or redo of the last action performed.

  2. Components: categories of Components that you can drag and drop onto your model.

  3. Save: saves the changes for the current model.

  4. Run: displays the Model Training Settings popup where you can customize the training settings to use prior to starting the model training process. Note: you can return to the Modeling Tool during training and run training for another model in parallel.

  5. Data Settings: allows you to modify settings for your data that were originally configured in the Data Wizard.

  6. Weights: Load and use your most recent checkpoint.

  7. Preview: toggles previews in the Modeling Tool on or off. Previews show what the transformed data looks like for each component.

  8. Settings: toggles display of the Components and Settings panes.

Note: When you run your model after having previously trained it, you may be presented with a popup that says Start training from latest epoch?. Clicking Yes means that PerceptiLabs will continue the training from where you last stopped it. For example, if you had to stop the training for any reason you can easily pick it back up. Or if you notice that the number of epochs that you trained on were not enough, you can continue training it a bit longer.

Components

The Component tabs above the workspace categorizes all of the components that you can drag and drop onto your model.

See Components for a description of each component.

Components and Settings Panes

The Components pane on the right-hand side of PerceptiLabs lists each Component that has been added to your model. You can click on each Component listed to quickly locate and highlight that Component in the Modeling Tool.

Below that is the Settings pane that provides the settings for the currently-selected component. If the Preview button is enabled, a Preview pane will be shown at the bottom corresponding to the selected component:

Code Editor

Click Open Code in the Settings pane to show the Code Editor which displays the code for the currently selected component in your model. Using this editor you can modify the default code that was generated by PerceptiLabs for that component:

For more information about the code, see: How PerceptiLabs Works with TensorFlow.

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  • Modeling Tool Toolbar
  • Components
  • Components and Settings Panes
  • Code Editor
Key elements of the Modeling Tool's toolbar.
Component Dropdowns
The Open code button on the right opens a component's code.