#Understanding fitplot sas series#

Users canĮasily implement their algorithms by taking advantage of fast gradient computing Gradient) and pruning algorithms (minimum magnitude, Optimal Brain Surgeon),īut it is first and foremost an efficient computational engine. Standard teaching (backpropagation, Rprop, simulated annealing, stochastic

Offers unmatched efficiency, modularity, and extensibility. Title: Fast Compressed Neural Networks for Rĭescription: Provides an interface to kernel routines from the FCNN C++ library.įCNN is based on a completely new Artificial Neural Network representation that Package FCNN4R updated to version 0.6.0 with previous version 0.5.0 dated Suggests: ggplot2, dplyr, tidyr, knitr, rmarkdown To compute the Human Development Index (HDI), as well as the HDI itself.

#Understanding fitplot sas series#

Includes a large amount of human development data, including all the series used Version: person('Eric', 'Persson', email = c('aut', 'cre'))ĭescription: Provides a complete interface to the United Nationsĭevelopment Programme Human Development Report API (). Title: Interface to the UNDR Human Development Report API