- 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, as read from the keras dataset service.
- boston_housing_external, 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 external data files.
- 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, a keras code which just loads keras, says "Hello, world!", and exits.
- hourly_wages, a keras code which uses a neural network to create a multivariable regression model from a set of hourly wage data.
- 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" code, 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.
- imdb_decode, a keras code which shows how to decode an IMDB dataset movie review.
- 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 as positive or negative.
- newswire, a keras code which sets up a neural network to classify a Reuters newswire into one of 46 classes.
- 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.
- tester, a BASH script which runs the test codes.