_dsc-webinar-series-implementing-deep-learning-models-in-streaming-analytics-projects.jpg "DSC Webinar Series: Implementing Deep Learning Models in Streaming Analytics Projects from nets results Video Screenshot Preview")
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⏲ Duration: 38 min 43 sec
✓ Published: 03-Nov-2021
✓ Published: 03-Nov-2021
Description:
Often the hardest part of a project is the “final mile” - getting deep learning models into production and yielding results. In order to accelerate this process, you need an effective approach that supports ONNX (open neural network exchange) format models for inferencing -- allowing you to leverage trained ONNX format models to implement streaming analytics in the cloud or at the edge.nnYou can focus on training the most effective model for the problem at hand by simplifying the task of dep
Often the hardest part of a project is the “final mile” - getting deep learning models into production and yielding results. In order to accelerate this process, you need an effective approach that supports ONNX (open neural network exchange) format models for inferencing -- allowing you to leverage trained ONNX format models to implement streaming analytics in the cloud or at the edge.nnYou can focus on training the most effective model for the problem at hand by simplifying the task of dep
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