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new function match_known_derivatives to set corresponding manual derivatives for well known activation or loss functions in NN and its implementation as default of the derivatives instead of nothing (i.e. AD)
new ConvLayer and PoolLayer. while very flexible (any dimension, any function) they are way too slow for any practical work, even if the convolution ids are cached. A pitty!