PerceptiLabs
PerceptiLabs
PerceptiLabs
PerceptiLabs
Welcome
Getting Started
Quickstart Guide
Requirements
Video Tutorials
References
UI Overview
Components
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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Included Packages

PerceptiLabs allows you to write custom Python code within the components of your model and currently includes the following packages:

Python packages

Version

tensorflow as tf

1.13.1 or 1.15

numpy as np

>=1.16.4

pandas as pb

>=0.25.0

gym

>=0.16.0

json

-

os

-

skimage

>=0.15.0

dask.array as da

>=2.6.0

dask.dataframe as dd

>=2.6.0

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Last updated 4 months ago