Big Data Is Not the Way to Go

Author(s): Andre Ye

Originally published on Towards AI.

The significance of the data distribution

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A lot of discourse around deep learning would have you believe that more data is better. This is a fairly intuitive idea. Data represents the ‘real world’ in some capacity, and models training on such data learn a sampled representation of this ‘real world’. Ergo, the more sampled data, the closer the model’s understanding approximates the ‘real world’.

This proposition appears to be corroborated by, well, the entire history of deep learning. “Good research requires good resources,” the ImageNet website reads. “To tackle this problem at scale… it… Read the full blog for free on Medium.

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Published via Towards AI