Convolutional neural network (CNN) functionality #20
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manually input layer sizes, no pad or stride, limited use of channels
added cnns to package interface, added test and examples, added bound tightening and changed maxpool to big-M formulation
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This branch adds the functionality related to CNNs to the package. Now CNNs can be formulated into MIP problems. All necessary documentation and testing has been added.