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Green Falcon
Green Falcon
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Where does the "deep learning needs big data" rule come from?

When reading about deep learning I often come across the rule that deep learning is only efficienteffective when you have large amounts of data at your disposal. These statements are generally accompanied beby a figure such as this:   

Deep learning and big data

The example (taken from https://hackernoon.com/%EF%B8%8F-big-challenge-in-deep-learning-training-data-31a88b97b282 ) is attributed to a 'famous slide from Andrew Ng'. Does anyone know what this figure is actually based upon? Is there any research that backs up this claim?

Where does the "deep learning needs big data" rule come from?

When reading about deep learning I often come across the rule that deep learning is only efficient when you have large amounts of data at your disposal. These statements are generally accompanied be a figure such as this:  Deep learning and big data

The example (taken from https://hackernoon.com/%EF%B8%8F-big-challenge-in-deep-learning-training-data-31a88b97b282 ) is attributed to a 'famous slide from Andrew Ng'. Does anyone know what this figure is actually based upon? Is there any research that backs up this claim?

Where does the "deep learning needs big data" rule come from

When reading about deep learning I often come across the rule that deep learning is only effective when you have large amounts of data at your disposal. These statements are generally accompanied by a figure such as this: 

Deep learning and big data

The example (taken from https://hackernoon.com/%EF%B8%8F-big-challenge-in-deep-learning-training-data-31a88b97b282 ) is attributed to a 'famous slide from Andrew Ng'. Does anyone know what this figure is actually based upon? Is there any research that backs up this claim?

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Aran
Aran
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Where does the "deep learning needs big data" rule come from?

When reading about deep learning I often come across the rule that deep learning is only efficient when you have large amounts of data at your disposal. These statements are generally accompanied be a figure such as this: Deep learning and big data

The example (taken from https://hackernoon.com/%EF%B8%8F-big-challenge-in-deep-learning-training-data-31a88b97b282 ) is attributed to a 'famous slide from Andrew Ng'. Does anyone know what this figure is actually based upon? Is there any research that backs up this claim?