def __init__(self, brain, inshape, fshape, stride, position):
VecLayer.__init__(self, brain=brain,
inshape=inshape, fshape=fshape,
stride=stride, position=position,
activation="linear")
self.outshape = (self.outshape[0], self.outshape[1], self.inshape[-1])
self.backpass_filter = np.zeros(self.inshape, dtype=float)
def __init__(self, brain, fshape, inshape, num_filters, stride, position, activation="sigmoid"):
VecLayer.__init__(self, brain=brain,
inshape=inshape, fshape=fshape,
stride=stride, position=position,
activation=activation)
self.outshape = self.outshape[0], self.outshape[1], num_filters
self.filters = np.random.randn(num_filters, np.prod(fshape))
