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 computer code and data files 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.
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.
John Burkardt.
