keras_src
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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 as
positive or negative.
-
newswire,
a keras script which
sets up a neural network to classify a Reuters newswire
into one of 46 classes.
-
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.
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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.