TLT is a zero-coding transfer learning toolkit using purpose-built, pretrained models. NVIDIA integrated with the platforms from the following partners to generate and label synthetic custom data in the formats compatible with TLT for training. High-quality labeled data enables neural network models to contextualize the information and generate accurate results. They could be collected from the real world or synthesized through models. Large amounts of labeled data are needed to train computer vision neural network models. We also introduce how to integrate your data to fine-tune AI/ML models easily with our partner services. In this post, we outline the key challenges in data preparation and training. End-to-end workflow of training a model and deploying AI applications.
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