PerceptiLabs specializes in computer vision applications, but is also able to build models based on data in a CSV format, such as text analysis, regression, etc.
PerceptiLabs supports Nvidia GPUs. Note that since Mac use ATI GPUs, GPU-accelerated machine learning is not supported on that platform.
PerceptiLabs allows you to build models using deep learning (neural networks) like Convolution Neural Networks, as well as simple methods like linear regression.
Your data does not go to any server in the desktop version. The data we collect (e.g., error logs and similar) is used to fix bugs and improve the user experience.
This can happen if another application or service that is already running on your local machine is using port 5000, 8000, 8011, and/or 8080. Be sure to first close that application or service before running PerceptiLabs.
If you've just installed PerceptiLabs on Windows Subsystem for Linux (WSL) you must first stop and restart WSL before PerceptiLabs will run correctly.
The GPU version of PerceptiLabs (perceptilabs-gpu package) does not work with WSL.
No, PerceptiLabs is not yet compatible with M1 hardware.