A comprehensive guide to understanding and crafting state-of-the-art loss functions for deep learning, moving beyond traditional approaches to tackle complex and niche tasks.
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An exploration of the diverse predictions and views of leading deep learning researchers on the future trends and evolutions in the field.
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