keras_src

1. 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.
2. 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.
3. 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.
4. dogs_vs_cats_data, a keras code which sets up test, train, and valid directories with data for the dogs versus cats example.
5. dogs_vs_cats1, a keras code which sets up a convolutional neural network to classify jpeg images as being of dogs or of cats.
6. hello, a keras code which just loads keras, says "Hello, world!", and exits.
7. hello_psc, a keras code which runs on a user's account at the Pittsburgh Supercomputing Center, loads keras, says "Hello, world!", and exits.
8. hourly_wages, a keras code which uses a neural network to create a multivariable regression model from a set of hourly wage data.
9. 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.
10. 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.
11. imdb_dataset_load_psc, a keras code which downloads a copy of the IMDB dataset to the user's account on the Pittsburgh Supercomputing Center, and place it in the default location if that has not already been done.
12. imdb_decode, a keras code which shows how to decode an IMDB dataset movie review.
13. mnist, a keras code which sets up a neural network to classify the MNIST digit image data.
14. mnist_convnet, a keras code which sets up a convolutional neural network to classify the MNIST digit image data.
15. montana, a keras code which seeks a regression formula y = b + w * x, using data supplied in an internal function.
16. montana_psc, a keras code which runs on a user account at the Pittsburgh Supercomputing Center. It seeks a regression formula y = b + w * x, using data supplied in an internal function.
17. movie_review, a keras code which sets up a neural network to classify movie reviews as positive or negative.
18. newswire, a keras code which sets up a neural network to classify a Reuters newswire into one of 46 classes.
19. 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.
20. 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.
21. 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.
22. tester, a BASH script which runs the test codes.