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* add more layr tests * add dense build test * implement pooling (without gradient) * separate eteq config to type and operation sections and reuse operation * enhanced slice and pad to apply across multiple dimensions * implement gradient for pooling * implement relu layer * add convolutional nn demo * fix funcarg and slice/convolution issues * fix eteq ctests, support mac catalina, start moving training io to demos * update rbm_trainer similar to sgd trainer * update nodeconverters and improve rbmtrainer * fix rbm * reuse cd on dbn_trainer * implement argmax for cnn_demo * fix slice and stride maps * optimize convolution gradient and conv2d * cleanup
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