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by malux85 2016 days ago
20 Parameters is WAY too small for a deepnet. Deepnets are better suited for very high dimensional spaces where the data has sparsity, a hierarchical structure and can take advantage of nets rotational, translational invariance etc (if that architecture is used)

You cant pick completely the wrong tool, and then complain about how unsuitable it was.