2017
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
ICML 2017poster
We present a new framework for analyzing and learning artificial neural networks. Our approach simultaneously and adaptively learns both the structure of the network as well as its weights. The methodology is based upon and accompanied by strong data-dependent theoretical learning guarantees, so tha…