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I'm familiar with Auto-Encoders and I'm about to dive into CNNs. By having a look at the most important component of a CNN, the filter:

img1

I wonder how it is different from Auto-Encoders:

img2

For me, it looks conceptually the same. I even have to admit it is quite of another higher concept: Dimensionality reduction. In e.g. PCA, as well as in AE and in CNN(?) you transform higher data / higher dimensions onto lower / compressed data. I can see that the methods are somehow different but yet, can't really explain in which manner, finally.

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    $\begingroup$ CNN is known to be good at extracting features from images, which is why auto encoders utilize CNN for the encoding part. $\endgroup$ – Aray Karjauv Jun 18 at 12:18
  • $\begingroup$ Ok, interesting.. so, in this context, CNN is half an AE. $\endgroup$ – Ben Jun 21 at 6:36

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