NVIDIA Transfer Learning Toolkit

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

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