Part of the Springer Series in the Data Sciences book series (SSDS)
- 39 Downloads
In this chapter we shall approach the study of neural networks from the Information Geometry perspective. This applies both techniques of Differential Geometry and Probability Theory to neural networks.
© Springer Nature Switzerland AG 2020