PerceptiLabs
v0.11
v0.11v0.12v0.13
  • Welcome
  • Getting Started
    • Quickstart Guide
    • Requirements
    • Video Tutorials
  • References
    • UI Overview
      • Model Hub
      • Modeling Tool
      • Statistics View
      • Test View
    • Components
      • Data
      • Processing
      • Deep Learning
      • Operations
      • Training
      • Custom
    • Advanced topics
      • How PerceptiLabs Works With TensorFlow
      • Supported Data Files
      • Setting up OpenAI Gym Environments for Reinforcement Learning
      • Python Environment
      • Jupyter Notebooks
      • Included Packages
      • Exporting
      • Debugging Models
  • Use Cases
    • Self-Driving Cars Using Nvidia PilotNet
    • Using a ResNet to Detect Anomalies in Textiles
    • Using a U-Net to Enhance Dark Photos
  • Tutorials
    • Basic Image Recognition
    • Convolution Tutorial
    • Coral Sign Language Tutorial
    • GAN Tutorial
  • Support
    • FAQs
    • Changelog
  • Code of Conduct
  • Marketing Site
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On this page
  • Install and run PerceptiLabs
  • UI Overview
  • Building a model from scratch
  • Train and test your model
  • Export and share your model on GitHub

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Video Tutorials

PreviousRequirementsNextUI Overview

Last updated 3 years ago

Install and run PerceptiLabs

Robert Lundberg, CTO and Co-founder of PerceptiLabs demo how to install and run PerceptiLabs.

UI Overview

Robert Lundberg, CTO and Co-founder of PerceptiLabs explains the user interface of PerceptiLabs.

Building a model from scratch

Robert Lundberg, CTO and Co-founder of PerceptiLabs builds a GAN model from scratch.

Train and test your model

Robert Lundberg, CTO and Co-founder of PerceptiLabs shows how to easily train and test a model, built in PerceptiLabs.

Export and share your model on GitHub

Robert Lundberg, CTO and Co-founder of PerceptiLabs explains how to export and share a model on GitHub.