def c_libraries(self):
        return ['cuda_convnet', config.pthreads.lib] if config.pthreads.lib else ['cuda_convnet']
Generate MLP weights
dataset/ETHPy150Open lisa-lab/pylearn2/pylearn2/sandbox/cuda_convnet/probabilistic_max_pooling.py/ProbMaxPool.c_libraries--crossover with--dataset/ETHPy150Open dclambert/Python-ELM/random_layer.py/RandomLayer._compute_weights