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People can't learn things which are truly new from only a few cases of trial and error either. For example, it takes a long time to learn a foreign language or
by selectron 10y ago
People can't learn things which are truly new from only a few cases of trial and error either. For example, it takes a long time to learn a foreign language or become an expert at chess. Humans mainly learn things better because our training data is usually larger than that of the model for the task at hand.
- hellofunk 10y agoSuppose you want a computer vision model to start recognizing a particular object (and its subtle variations) in photos, but it has never seen this object before. How many of these objects must the model be trained on before it can generalize and recognize the object again? Now show a child some bizarre object just once, and see if it can find the object in any photos, even if the object is at different angles or subtly varied. The child will certainly do better, off just one training example.