Archives for few shot learning in image recognition
Few-shot learning can also be called One-Shot learning or Low-shot learning is a topic of machine learning subjects where we learn to train the dataset with lower or limited information.
The biggest concern for any machine learning developer is to figure if their models work outside their labs, in the real world, and in the wild. The emergence of pragmatic ML as a domain coincides with the increasing adoption of AI. But, when can one call their system to be pragmatic? To build more robust…
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