Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers

Cited by: 0|Views57

Abstract:

Feed-forward neural networks consist of a sequence of layers, in which each layer performs some processing on the information from the previous layer. A downside to this approach is that each layer (or module, as multiple modules can operate in parallel) is tasked with processing the entire hidden state, rather than a particular part of...More

Code:

Data:

Full Text
Bibtex
Your rating :
0

 

Tags
Comments