def ConvBig(c, **kargs):
return n.LeNet([(32, 3, 3, 1), (32, 4, 4, 2), (64, 3, 3, 1),
(64, 4, 4, 2)], [512, 512, c],
padding=1,
last_lin=True,
last_zono=True,
**kargs)
def Yale_VGG(c, **kargs):
return n.LeNet([(8, 3, 3, 1), (8, 3, 3, 2), (16, 3, 3, 1), (16, 3, 3, 2),
(32, 3, 3, 1), (32, 3, 3, 2), (64, 3, 3, 1),
(64, 3, 3, 2)], [200, c],
padding=1,
last_lin=True,
**kargs)
def convHuge(c, **kargs):
return n.LeNet([(128, 3, 3, 1), (128, 4, 4, 1), (256, 3, 3, 1),
(256, 4, 4, 1)], [512, 512, c],
padding=1,
normal=True,
bias=False,
last_lin=True,
**kargs)
def ConvLargeIBP(c, **kargs):
return n.LeNet([(64, 3, 3, 1), (64, 3, 3, 1), (128, 3, 3, 2),
(128, 3, 3, 1), (128, 3, 3, 1)], [200, c],
padding=1,
ibp_init=True,
bias=True,
last_lin=True,
last_zono=True,
**kargs)
def TruncatedVGG(c, **kargs):
return n.LeNet([(64, 3, 3, 1), (64, 3, 3, 1), (128, 3, 3, 2),
(128, 3, 3, 1)], [512, c],
padding=1,
ibp_init=True,
bias=True,
last_lin=True,
last_zono=True,
**kargs)
def skip(c, **kargs):
return n.SkipNet(n.LeNet([(16, 3, 3), (16, 3, 3), (32, 3, 3)], [200]),
n.LeNet([(32, 4, 4), (32, 4, 4)], [200]), [200, c],
**kargs)
def convSuper(c, **kargs):
return n.LeNet([(32, 3, 3, 1), (32, 4, 4, 1), (64, 3, 3, 1),
(64, 4, 4, 1)], [512, 512, c],
last_lin=True,
**kargs)
def convMed(c, **kargs):
return n.LeNet([(16, 4, 4, 2), (32, 4, 4, 2)], [100, c],
padding=1,
last_lin=True,
**kargs)
def convSmall(c, **kargs):
return n.LeNet([(16, 4, 4, 2), (32, 4, 4, 2)], [100, c],
last_lin=True,
**kargs)
def convMedGNoPad(c, **kargs):
return n.LeNet([(16, 4, 4, 1), (32, 4, 4, 1)], [1000, c],
padding=0,
last_lin=True,
**kargs)
def convNOPAD(c, **kargs):
return n.LeNet([(5, 4, 4, 1)], [50, c], padding=0, last_lin=True, **kargs)
def convMedGTANH(c, **kargs):
return n.LeNet([(16, 4, 4, 2), (32, 4, 4, 2)], [1000, c],
padding=1,
last_lin=True,
activation="Tanh",
**kargs)
def convMedGSIGMOID(c, **kargs):
return n.LeNet([(16, 4, 4, 2), (32, 4, 4, 2)], [1000, c],
padding=1,
last_lin=True,
activation="Sigmoid",
**kargs)
def FMNIST_VGG(c, **kargs):
return n.LeNet([(256, 3, 3, 1), (256, 3, 3, 1), (256, 3, 3, 2),
(512, 3, 3, 1), (512, 3, 3, 1), (512, 3, 3, 2)], [200, c],
padding=1,
last_lin=True,
**kargs)
