PyTorch vs TensorFlow
Mircea highlights the advantages of PyTorch over TensorFlow, particularly its debuggability, which accelerates development. While both frameworks have their strengths, performance was not a significant issue for Mircea's team, as their models ran efficiently on GPUs and CPUs. The discussion reveals a preference for PyTorch based on ease of use and satisfactory performance in their specific applications.In this clip
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Gradient Dissent - A Machine Learning Podcast
Mircea Neagovici — Robotic Process Automation (RPA) and ML
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