Using a provided dataset, it is required to develop a neural network classifier that can robustly predict (or diagnose) breast cancer with the highest possible accuracy.
For this classification problem, devise neural network classifiers using both the shallow neural network and the deep neural network training approaches, and comparatively evaluate their performance.
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