RAAM
Representation learning
The RAAM model is a representation learning model with 1536.0 parameters.
About RAAM
A longstanding difficulty for connectionist modeling has been how to represent variable-sized recursive data structures, such as trees and lists, in fixed-width patterns. This paper presents a connectionist architecture which automatically develops c
Details
- Task
- Representation learning
- Parameters
- 1536.0
- Released
- 1990-11-01