Tensorleap provides data scientists with the world’s first debugging and explainability development platform.
Despite the enormous growth and promise of deep learning models, their black-box nature results in numerous challenges that limit their potential, such as lack of explainability, long and inefficient development cycles, unbalanced datasets, and insufficient testing.
Tensorleap addresses these challenges enabling data scientists to gain trust in their models and realize their full potential, especially in industries where accuracy is mission-critical, without the risk of their models failing in production.
Tensorleap’s innovative Applied Explainability techniques enable data scientists to identify and resolve model weaknesses, test models in all possible scenarios, focus only on data that counts, and make informed decisions about which models they can trust in production.
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