Conx

Released Wed September 12, 2018

* Re-wrote reset_weights; just recompiles model
* Fixed error in gridfont loader
* All widgets/pictures are JupyterLab compatible
* Added support for dynamic_pictures on/off; default is off
* SVG arrows are now curves
* New algorithm for bank layout in SVG
* moved dataset.get() to Dataset.get() and net.get_dataset()
* new virtual datasets API, including vmnist, H5Dataset (remote and local)
* better cache in virtual datasets
* Allow dropout to operate on 0, 1, 2, or 3 whole dims
* Added cx.Layer(bidirectional=mode)
* Show network banks as red until compiled
* Rewrote and renamed net.test() to net.evaluate() and net.evaluate_and_label()
* net.evaluate() for showing results
* net.evaluate_and_label() for use in plots

Released Sun August 19, 2018

* net.pp() gives standard formatting for ints and floats
* Allow negative position in virtual dataset vectors
* Fixed error in colors dataset that truncated the target integer to 8 bits
* Add internal error function to net.compile(error={...})
* New spelling: ConX
* cx.image_to_array() removes alpha
* vshape can be three dimensions (for color images)
* some new image functions: image_resize(), image_remove_alpha()
* renamed "sequence" to "raw" in utils
* Added cx.shape(summary=False), cx.get_ranges(array, form), and get_dim(array, DIMS)
* Use kverbose in train() for all keras activity

Released Mon August 13, 2017

* Allow bool values with onehot
* Unfix fixed crossentropy warning
* Allow datasets to be composed of bools
* added temperature to choice()
* Added net.dataset.inputs.test(tolerance=0.2, index=True)

Released Fri August 10, 2018

* Separate build/compile --- compile() no longer resets weights;
* added net.add_loss()
* Remove additional_output_banks
* refactor build/compile
* add LambdaLayer with size
* add prop_from_dict[(input, output)] = model

Released Tue Aug 7, 2018

* Allow additional output layers for network
* Fix: crossentropy check
* added indentity layer for propagating to input layers
* Include LICENSE.txt file in wheels

Released Thu May 17, 2018

* delete layers, IncepetionV3, combine networks
* ability to delete layers
* ability to connect two networks together
* rewrote SVG embedded images to use standard cairosvg
* added inceptionv3 network
* cx.download has new verbose flag
* fixes for minimum and maximum
* import_keras_model now forms proper connections
* Warn when displaying network if not compiled then activations won't be visible
* array_to_image(colormap=) now returns RGBA image