def get_l2_act_cost(self, state, target, coeff):
        avg = state.mean(axis=0)
        diff = avg - target
        return coeff * T.sqr(diff).mean()
Returns the keys of the sections (and subsections) of the mapping
dataset/ETHPy150Open lisa-lab/pylearn2/pylearn2/models/dbm/ising.py/BoltzmannIsingHidden.get_l2_act_cost--crossover with--dataset/ETHPy150Open duerrp/pyexperiment/pyexperiment/utils/HierarchicalMapping.py/HierarchicalMapping.section_keys