def build_model(self):
if not self.conv_mlp_layer:
self.conv_mlp_layer = ConvMLPLayer(patch_size=self.patch_size,
npatches=self.npatches,
n_hids=self.n_hids,
activ=self.activ,
n_out=self.n_bottleneck,
out_activ=self.bottleneck_activ,
use_deepmind_pooling=self.use_deepmind_pooling,
weight_initializer=self.weight_initializer,
bias_initializer=self.bias_initializer,
name=self.pname("conv_mlp_layer"))
if not self.out_hid_layer:
self.out_hid_layer = AffineLayer(n_in=self.bottleneck_out,
n_out=self.n_hids,
use_bias=True,
weight_initializer=self.weight_initializer,
bias_initializer=self.bias_initializer,
name=self.pname("out_hid_layer"))
if not self.out_layer:
self.out_layer = AffineLayer(n_in=self.n_hids,
n_out=self.n_out,
use_bias=True,
weight_initializer=self.weight_initializer,
bias_initializer=self.bias_initializer,
name=self.pname("out_layer"))
self.children = [self.conv_mlp_layer, self.out_hid_layer, self.out_layer]
self.merge_params()
self.str_params()
