The Expressive Power of Neural Networks: A View from the Width

NeurIPS 2017 Zhou LuHongming PuFeicheng WangZhiqiang HuLiwei Wang

The expressive power of neural networks is important for understanding deep learning. Most existing works consider this problem from the view of the depth of a network... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper