load_mnist: Load Training Data

In simpleMLP: Simple Multilayer Perceptron Neural Network

Description

Loads MNIST training, validation, and test data and generates one hot encodings for the targets. The test set proportion is not specified and is instead the remainder from the test and validation proportions.

Usage

load_mnist(train_prop = 0.8, validate_prop = 0.1)

Arguments

train_prop	proportion of the data used for the training set
validate_prop	proportion of the data used for the validation set

Value

list of training and validation data and targets

Examples

mnist <- load_mnist(0.8, 0.1)
train_data <- mnist[1]
train_target <- mnist[2]
validate_data <- mnist[3]
validate_target <- mnist[4]
test_data <- mnist[5]
test_target <- mnist[6]

simpleMLP documentation built on March 28, 2021, 9:07 a.m.