dogs_vs_cats_data, a keras script which sets up test, train, and valid directories with data for the dogs versus cats example.
As described in the reference, the original data comes from 25,000 jpeg images of dogs and cats, used in a kaggle competition. This program copies 1000 images for training, 500 for validation, and 500 for testing, from each of the cat and dog collections, and places them in local directories, for easy access by example programs.
The computer code and data files described and made available on this web page are distributed under the GNU LGPL license.
boston_housing, a keras script which sets up a neural network to apply regression to predict housing prices, based on the Boston housing dataset.
boston_housing_external, a keras script 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_cats1, a keras script which sets up a convolutional neural network to classify jpeg images as being of dogs or of cats.
hourly_wages, a keras script which uses a neural network to create a multivariable regression model from a set of hourly wage data.
mnist, a keras script which sets up a neural network to classify the MNIST digit image data.
mnist_convnet, a keras script which sets up a convolutional neural network to classify the MNIST digit image data.
movie_review, a keras script which sets up a neural network to classify movie reviews from the IMDB database.
newswire, a keras script which sets up a neural network for the classification of Reuters newswire texts into one of 46 categories.
paraheat_gaussian_parameter, a keras script 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 script 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 script which reads training and test files of data pairs (x,y), and seeks a regression formula y = b + w * x.
The original text is by Francois Chollet; some modifications were made by John Burkardt.