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create_model.Rd
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47 lines (39 loc) · 1.05 KB
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/fit_nn_helper.R
\name{create_model}
\alias{create_model}
\title{Initialize a fully-connected multi-class neural network}
\usage{
create_model(
learning_rate = 0.001,
weight_decay = 0,
dropout = 0,
num_dense_layers = 1,
num_dense_nodes = 5,
activation = "relu",
seed = NULL,
input_shape,
num_classes
)
}
\arguments{
\item{learning_rate}{Learning rate for Adam optimizer}
\item{weight_decay}{L2 regulariation paramter}
\item{dropout}{Dropout rate}
\item{num_dense_layers}{Number of hidden layers}
\item{num_dense_nodes}{Number of nodes per hidden layer (all hidden layers have the same size)}
\item{activation}{Name of activation function ("relu", "softmax", "softplus", "elu", "tanh", "sigmoid", etc)}
\item{seed}{Seed for weight initialization and dropout}
\item{input_shape}{Number of features}
\item{num_classes}{Number of classes}
}
\value{
A compiled Keras model
}
\description{
Initialize a fully-connected multi-class neural network
}
\author{
Zoe Guan
summary(model)
}