NVIDIA Transfer Learning Toolkit

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NVIDIA Transfer Learning Toolkit

NVIDIA Transfer Learning Toolkit

Create accurate and efficient AI models for Intelligent Video Analytics and Computer Vision without expertise in AI frameworks. Develop like a pro with zero coding. Get Started Transfer learning extracts learned features from an existing neural network to a new one. Transfer learning is often used when creating a large training dataset is not feasible. Transfer Learning Toolkit (TLT) is a python based AI toolkit for taking purpose-built pre-trained AI models and customizing them with your own data.

Source: developer.nvidia.com/transfer-learning-toolkit

May 3, 2020
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