inst/doc/NeuralNetworks.R

In bquast/EconometricsUsingR: Package to accompany the Handbook of Statistics: Econometrics Using R

## ------------------------------------------------------------------------
backpropagation_data(n=50000)

## ------------------------------------------------------------------------
ls()

## ------------------------------------------------------------------------
backpropagation_training(X, Y)

## ------------------------------------------------------------------------
deeplearning_data(n=50000)

## ------------------------------------------------------------------------
ls()

## ---- hidden_dim=4-------------------------------------------------------
deeplearning_training(X, Y)

## ------------------------------------------------------------------------
gradientdescent_data(n=50000)

## ------------------------------------------------------------------------
ls()

## ------------------------------------------------------------------------
gradientdescent_training(X, Y, hidden_dim=4, alpha=0.1)

## ------------------------------------------------------------------------
recurrentneuralnetwork_data(n=10000, binary_dim=8)

## ------------------------------------------------------------------------
ls()

## ------------------------------------------------------------------------
recurrentneuralnetwork_training(X1, X2, Y, hidden_dim=10, alpha=0.1)