keras_src


  1. boston_housing, a keras script which sets up a neural network to apply regression to predict housing prices, based on the Boston housing dataset.
  2. 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
  3. dogs_vs_cats_data, a keras script which sets up test, train, and valid directories with data for the dogs versus cats example.
  4. dogs_vs_cats1, a keras script which sets up a convolutional neural network to classify jpeg images as being of dogs or of cats.
  5. hourly_wages, a keras script which uses a neural network to create a multivariable regression model from a set of hourly wage data.
  6. mnist, a keras script which sets up a neural network to classify the MNIST digit image data.
  7. mnist_convnet, a keras script which sets up a convolutional neural network to classify the MNIST digit image data.
  8. movie_review, a keras script which sets up a neural network to classify movie reviews as positive or negative.
  9. newswire, a keras script which sets up a neural network to classify a Reuters newswire into one of 46 classes.
  10. 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.
  11. 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.
  12. 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.


Last revised on 14 May 2019.