Tags give the ability to mark specific points in history as being important
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0.4.0
996e59a2 · ·Constelation Sequence model support, with jupyter notebook example, although based in sensitive data. This release leads up to but does not include the full Fashion-MNIST example with classification networks. This release holds many of the required changes for both forward and backrpop with a slightly modified decryption method as an explicit node.
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0.3.0
e6a9e403 · ·Complete Initial Selection of Nodes Iteration: - Additional neuron nodes such that a complete MNIST graph is now possible - Added unittests for all new and any residual nodes that were not yet tested - Added experimental custom marshmallow field to serialise and deserialise numpy attributes - Expanded on MNIST example and created a new interactive pyvis graph for it - Expanded documentation in several places as well as adding a whole new category for traversers since there will likeley be various algorithms toward stimulating and harvesting the neurons activations.
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0.2.0
614fe534 · ·Overhauled nodes and networks Nodes now take centre stage, in a network abstraction. Inheritance and complexity has been slashed. Now we have a very simple architecture while still having minimal boilerplate/ redundant code. This is completeley incompatible with 0.1.1 but this is allowed for rapid development untill version 1.0
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0.1.0
ee41c945 · ·Original ReArray This current version represents the nodeless implementation where FHE was used in nodeless CNN ANN and activation functions. The FHE implementation is based on inbuilt MS-SEAL, abstracted as rearray. The intention is to in future split FHE backends into seperate modules/ plugins, and from now on all layers, activations etc will be nodes in our custom graphs.