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Created with Raphaël 2.2.09Aug86430Jul292827262322212019730Jun2410830May1211107528Apr2512Mar65414Feb94330Jan23191630Dec9Nov8529Oct2826221328Sep29Aug2625131220Jul1930May28272217416Apr1413765331Mar628Jan231511109329Dec222019189652127Nov2622191714121187531Oct302818118764127Sep2624231917151310965330Aug28252322211918171613121123Jul2019181716151413111097632125Jun24211614131211109876531May27262119168Apr754325Feb2229Jan2420Dec21Nov26Oct2522186Sep31Aug3026212096515Jul19Jun18171615141231May30[update]: aded artifical layer class defintion to Template Controller[update]: added to CNNNet.ftl the class definition for artificial layers[added]: extendet Enum by "Artificial_ARCH_CLASS"[update]: changed name from gluon block creation[update]: update Template name, artificial_arch -> ArtificialArch[update]: ArtificialArch.ftl work fix[update]: added check for artificial layer[update]: version increment, load correct CNNARch version[addded] added template for Artificial layer[update] formatting[update] removed dead code[update] removed unsued imports, updated fit parameters[update] removed dead code[update] removed AdaNet code that isn't needed anymore[update] added datafield model_shape to DataClass[update] restructuring reset pointMerge branch 'sim-dev' into 'master'License in tests[update] logging[update] fixed node count[update] fixed node count[update] size calculation changed[update] more modular[update]full workin version[update] check if networkinstruction contains adaNet[update] restrucktured model design[update] running version[update] running version[update] code cleanup[update] added new output shape[update] fixed typo[update] test pass fix, CNNSupervisedTrainer.ftl[update] test pass fix, CNNCreator.ftl[update] test pass fix[update] python code fix[update] check if Blocks are present[update] added AdaNet to supported LayerList[update] updated, cleaner version. still the weird mxnet bug appears from.Size = 10 != to.Size =100[update] removed input block parameter, since it isn't used anymore in AdaNet.ftl[update] update