Visual Generative AI Ecosystem Challenges with Richard Zhang - #656
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
The Point of Diminishing Returns in Deep Neural Networks
In the discussion, it is suggested that deep networks may exhibit diminishing returns, as additional layers may not necessarily lead to performance improvements. This notion is supported by results from neuroscience, which indicate a similar trend where deep network responses may correlate with neural responses up to a certain point, after which the correlation diminishes. The performance of deep networks for specific tasks, such as image classification, may surpass human capabilities, leading to a decline in correlation with perceptual data. The correlation between computer vision performance and agreement with perceptual data generally ascends but eventually descends, indicating the concept of diminishing returns for deep neural networks.
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