May 10, 2024, 3:27 p.m. | /u/elongatedpepe

Deep Learning www.reddit.com

I'm trying to understand how ann vs cnn works.

Essentially network is just leaning a mapping function from input to output. But in context of ANN where feature space is represented by data as a dot in N dims feature space. The boundries are non linear and drawn which sperates the feature space.

But w.r.t CNN, what is high dimensional space and feature space? Is this every pixel value in 3d space is this where boundries are drawn like ANN …

ann cnn context data deeplearning feature function linear mapping network space

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