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Please predict whether this patent is acceptable.PATENT ABSTRACT: The invention is an add-on implementation of a stabilized association memory matrix system to an existing convolutional neural network framework. This invention emulates the intra-action and the inter-action of the cognitive processes of the (logical) left-brain and (intuitive) right-brain. The invention is a numerically stable soft-ware based implementation that (1) reduces the long training times, (2) reduces the execution time, and (3) produces intralayer and interlayer connections. The implementation of this joint processing architecture is designed to take an existing hierarchy of stepped based processes, add next to it a parallel hierarchy of associative memory processes, and then connect the two processes by another set of associative memory processes. Or, the stepped-based process may be replaced with additional associative memory processes to enhance the emulation of several bidirectional intralayer and interlayer cognitive process communication. In addition, the invention can be used as a neural network layer compression tool that takes in a multilayer perceptron, also known as a multilayer neural network, and outputs a single layer perceptron. The final construction can be visualized as two vertical rails connected with a set of horizontal rungs which motivates the name to this invention: J. Patrick's Ladder: A Machine Learning Enhancement Tool.