Additional Use Cases
Highlights so far have included Paul Costelloe's perfectly tailored looks in neutral and brown tones and AGRO Studio's grungy but glam collection.
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Well, yes, because that was the state of technology in the 1930s. But it would
Trained — weights learned from data by any training algorithm (SGD, Adam, evolutionary search, etc.). The algorithm must be generic — it should work with any model and dataset, not just this specific problem. This encourages creative ideas around data format, tokenization, curriculum learning, and architecture search.
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