Christopher Olah older article about excitement and interest in deep neural networks because they’ve achieved breakthrough results in areas such as computer vision.
However, there remain a number of concerns about them. One is that it can be quite challenging to understand what a neural network is really doing. It is much easier to explore low-dimensional deep neural networks – networks that only have a few neurons in each layer.
Author then provides more information on:
- Simple neural network example
- Continuous visualization of layers
- Topology of tanh layers
- Topology and Classification
- The Manifold Hypothesis
Excellent article with still relevant information for anybody interested in neural networks.[Read More]