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First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. An attentional mechanism is added to a feedforward convolutional network, with recurrence introduced by the feedback of succeeding attentional focus locations. The system is trained using RL, due to issues of differentiability making the performance gradient unavailable. The system achieves competitive performance, with a dramatic reduction in computational burden. This work tackles an important problem, and makes good progress.