Random Multimodel Deep learning

Project Info:

Random Multi Model deep learning is an ensembling approach using models built with multilayer perceptron, Convolutional Neural Nets, and Recurrent Neural Nets.

Project Details:

  • Technologies:Multilayer perceptron, Covolotional Neural Network, Recurrent Neural Network (GRU/LSTM), ensemble of classifiers
  • Date: August 2018
  • Python Library:RMDL 1.0.8
  • Pblished Article:ArXiv Version