deep-learning-intro Include in introduction: deep learning networks as learning increasingly abstract representations of the input data

Include in introduction: deep learning networks as learning increasingly abstract representations of the input data

Open svenvanderburg opened this issue 1 year ago • 2 comments

To give more intuition of how deep neural networks work, we could include in the introduction that you can view neural networks as learning increasingly abstract representations of the input data, for example using a picture like this:

https://www.researchgate.net/profile/Abhinav-Vishnu/publication/308883811/figure/fig2/AS:413666332692485@1475637148009/Pictorial-representation-of-features-in-3-layers-of-a-CNN-34-Notice-the-increasing.png

Aug 29 '23 11:08 svenvanderburg

Unfortunately, I cannot find any CC-by licensed figures that visualize this well... And I think we need a figure to explain this well. The best way would be to find a figure in an open source journal, but I haven't found that yet.

Sep 18 '23 10:09 svenvanderburg

This is what wikipedia offers us, but I don't really like it: https://en.wikipedia.org/wiki/File:Deep_Learning.jpg

Sep 18 '23 12:09 svenvanderburg

deep-learning-intro deep-learning-intro copied to clipboard

Include in introduction: deep learning networks as learning increasingly abstract representations of the input data

deep-learning-intro
deep-learning-intro copied to clipboard