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Image Recognition is a central task in computer vision with applicationsranging across search, robotics, self-driving cars and many others. There arethree purposes of this document: 1. We follow up on (Fischetti & Jo, December,2017) and show how standard convolutional neural network can be optimized to amore sophisticated capsule architecture. 2. We introduce a MILP model based onCNN to create adversarials. 3. We compare and evaluate each network for imagerecognition tasks.

Evaluation of Neural Networks for Image Recognition Applications: Designing a 0-1 MILP Model of a CNN to create adversarials