AI Workflow Insights
Daniel discusses using both Tensorflow and Pytorch in their projects, emphasizing the importance of Docker for model training. The team saves training data locally and bundles models for specific deployments, showcasing a streamlined AI workflow.In this clip
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Practical AI
Building a deep learning workstation
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