def __init__(self, in_module, out_module, name=None):
connection.__init__(self, in_module, out_module, name=name)
self.weights = zeros(self.dims)
self.deltas = ndarray(self.outdim)
self.math = math()
for i in xrange(self.outdim):
for h in xrange(self.indim):
for k in xrange(16):
self.weights[h,i,k] = random.randint(1,10)
def __init__(self, in_module, out_module, name=None):
connection.__init__(self, in_module, out_module, name=name)
self.weights = zeros(self.dims)
self.math = math()
self.math.generate_weights((self.outdim, self.indim, 16), self.weights)
self.deltas = ndarray(self.outdim)
def __init__(self, previous_neurons, next_neurons):
self.shape = (previous_neurons.size, next_neurons.size, SYNAPSES)
layer_base.__init__(self, previous_neurons, next_neurons, self.shape)
self.learning_rate = 1.0
self.math = math()