Understanding Neural Networks, Manifolds, and Topology Through Visualizations
To date, a major concern regarding neural networks is that they are difficult to interpret black boxes. This article primarily aims to understand theoretically why neural networks perform so well in pattern recognition and classification. The essence lies in the fact that they distort and transform the original input through layers of affine transformations and … Read more