dogs_vs_cats1, a keras script which sets up a convolutional neural network to classify jpeg images as being of dogs or of cats.
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_cats_data, a keras script which sets up test, train, and valid directories with data for the dogs versus cats example.
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.
