Make sense of your neural networks
A neural network analysis platform providing guided error analysis, unit testing, and dataset architecture enabling data science teams to build high-performing models they can trust
Tensorleap allows data scientists to fully understand their neural networks, ensure model performance, design the perfect dataset, and get on the same page as the team
Reliability
Guided Error Analysis
Automatic and unsupervised root cause detection for failing samples to fully explain model behavior and arrive at reliable conclusions
Objectivity
Dataset Architecture
Build the most balanced and unbiased datasets by measuring quality, removing irrelevant samples, and prioritized labeling
Validity
Deep Unit Testing
Automatically create and run countless of segmented tests to verify model quality in hundreds of possible scenarios
Efficiency
DNN Collaboration
Improve trust by providing proof of successful work and a clear documentation of the development process
