hourly_wages, a keras code which uses a neural network to create a multivariable regression model from a set of hourly wage data.
The information on this web page is distributed under the MIT license.
boston, a keras code which sets up a neural network to apply regression to predict housing prices, based on the Boston housing dataset, as read from internal data functions.
boston_housing, a keras code which sets up a neural network to apply regression to predict housing prices, based on the Boston housing dataset.
boston_housing_external, a keras code which reads the Boston housing dataset from an external file, rather than referencing the built-in keras dataset, and applies regression to predict housing prices
dogs_vs_cats_data, a keras code which sets up test, train, and valid directories with data for the dogs versus cats example.
dogs_vs_cats1, a keras code which sets up a convolutional neural network to classify jpeg images as being of dogs or of cats.
hello_keras, a keras code which loads keras, says hello, and exits.
imdb, a keras code which sets up a neural network to classify movie reviews as positive or negative. This is similar to the "movie_review" script, but is designed to be run on a remote computing node which does not have internet access at run time.
imdb_dataset_load, a keras code which can download a copy of the IMDB dataset and place it in the default location if that has not already been done.
mnist, a keras code which sets up a neural network to classify the MNIST digit image data.
mnist_convnet, a keras code which sets up a convolutional neural network to classify the MNIST digit image data.
montana, a keras code which seeks a regression formula y = b + w * x, using data supplied in an internal function.
movie_review, a keras code which sets up a neural network to classify movie reviews from the IMDB database.
newswire, a keras code which sets up a neural network for the classification of Reuters newswire texts into one of 46 categories.
paraheat_gaussian_parameter, a keras code which reads data for the heat equation with a parameterized gaussian diffusivity, and uses a neural network to estimate a single parameter from solution values at sensor locations.
paraheat_gaussian_parameters, a keras code which reads data for the heat equation with a parameterized gaussian diffusivity, and uses a neural network to estimate four parameters from solution values at sensor locations.
regression_1d, a keras code which reads training and test files of data pairs (x,y), and seeks a regression formula y = b + w * x.
John Burkardt.