def __init__(self, neuron=None, seed=5, Na=None, Nb=None):
if neuron == None:
self.neuron = lif.net(seed=seed)
else:
self.neuron = neuron
self.N = self.neuron.N_hidden
self.neuron.T = 50
self.T = self.neuron.T
if Na == None:
self.na, self.nb = 2 * self.N, 6 * self.N
else:
self.na, self.nb = Na[0], Na[1]
if Nb == None:
self.ma, self.mb = self.na / 2, self.nb / 2
else:
self.ma, self.mb = Nb[0], Nb[1]
def __init__(self, neuron=None, seed=5, Na=None, Nb=None):
if neuron == None:
self.neuron = lif.net(seed=seed)
else:
self.neuron = neuron
self.N = self.neuron.N_hidden
self.neuron.T = 50
self.T = self.neuron.T
if Na == None:
self.na, self.nb = 2 * self.N, 6 * self.N
else:
self.na, self.nb = Na[0], Na[1]
if Nb == None:
self.ma, self.mb = self.na / 2, self.nb / 2
else:
self.ma, self.mb = Nb[0], Nb[1]
import lif import lift import pudb import brian2 as br import train #nn.read_image(0) #nn.run(50) #train.resume_update_output_weights(nn) #train.resume_update_hidden_weights(nn) #nn.run(40) nn = lif.net(N_hidden=16, N_input=4) nn.train(0, 1)