H2ONeuralNetwork

H2O Deep Learning/Neural Network

Input

It takes in a DataFrame as input

Type

transform

Class

fire.nodes.h2o.NodeH2ONeuralNetwork

Fields

Details

H2O’s Deep Learning is based on a multi-layer feedforward artificial neural network that is trained with stochastic gradient descent using back-propagation. The network can contain a large number of hidden layers consisting of neurons with tanh, rectifier, and maxout activation functions.

More details are available at : http://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/deep-learning.html