Aitk.networks

Latest version: v0.5.2

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0.3.8

Major changes:

* Allow SimpleNetwork to take Layers
* initialize() checks inputs for color; make_image() respects it
* Raise an error for malformed SimpleNetwork layer representation
* Use a input_dataset in predict_to
* fix display_colormaps()
* Added network.propagate(show=False)
* Initialize limits with first generation of image
* Syntax of setup requires
* Use "Flatten" rather than 0
* allow tolerance as kwarg to fit()

0.3.2

Major changes:

* Network.propagate() returns values
* Network.fit() updates watched items with random dataset pattern
* Fixed a bug in Network.fit(); finish update - > propagate changes

0.3.1

Major changes:

* Changed network.update() to network.propagate(an_input)
* Changed network.update(dataset=true) to network.propagate_each(inputs)

0.3.0

Major changes:

* Added network.watch(), network.watch_layer(), and network.watch_weights()
* Added network.update(pattern) to update the watchers
* network.fit() calls network.update() on the first pattern every report_rate epochs
* Added network.enumerate_dataset(inputs)
* Draw blue border around dynamic/watched views
* Added Network(layers=[]) and network.connect(name, name)
* Added get_image(), display(), and get_widget() to Network

0.2.5

Major changes:

* requires aitk.utils
* Added predict_histogram()

0.2.4

Major changes:

* Added Network.predict_histogram()
* Updated titles in network display

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