2019
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch
CVPR 2019poster
Designing the structure of neural networks is considered one of the most challenging tasks in deep learning, especially when there is few prior knowledge about the task domain. In this paper, we propose an Ecologically-Inspired GENetic (EIGEN) approach that uses the concept of succession, extinction…