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

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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

Use Tensorleap on your own model and data!