Decision boundary is the region of a problem space in which the output label of a classifier is ambiguous. In this concise yet informative article Dr. Takashi J Ozaki outlines decision boundaries for deep learning and other Machine Learning classifiers and emphasize on parameter tuning for Deep Learning.
The source code for this article is on github, and he uses H2O, one of the leading deep learning framework in python, is now also available in R.
Code: https://github.com/ozt-ca/tjo.hatenablog.samples/tree/master/r_samples/public_lib/jp
Deep Learning – Getting Started - important resources for learning and understanding
