def __init__(self, n_classes, width, depth, get_bow, rho=1e-5, eta=0.005,
eps=1e-6, bias=0.0, update_step='adadelta'):
nn_shape = tuple([width] + [width] * depth + [n_classes])
NeuralNet.__init__(self, nn_shape, embed=((width,), (0,)),
rho=rho, eta=eta, eps=eps, bias=bias,
update_step=update_step)
self.get_bow = get_bow
