A GUI for TensorFlow,
a new visual way to build models
To build a custom model like simple linear regression, or something more complex like a GAN, just drag and drop components to start.
PerceptiLabs wraps low-level TensorFlow code to create visual components, so you’ll see your model’s architecture as you build.
You’ll build models faster and easier with PerceptiLabs.See real-time analytics and granular previews of output from each model component. You can easily track and understand the gradients’ behavior, perform real-time debugging, and see where to optimize your model.
It's never been easier to debug and interpret your model.PerceptiLabs lets you manage multiple models, compare them, and easily share the results back to your team. Export your model as a TensorFlow model or as a Jupyter Notebook.
That’s machine learning at warp speed.
$ pip install perceptilabs $ perceptilabs 
Toggle between GUI and code
Export and share to GitHub and Jupyter
Automatically distributes training on available GPUs
Auto-generated visualizations for every single variable in the
model
Easy debugging with warnings and recommendations
News
PerceptiLabs named to the CB Insights AI 100
Blog
Getting inside the head of a machine learning scientist
