reworked network arch diagrams

thesis/third_party/PlotNeuralNet/deepsad/arch_lenet_decoder.py

@@ -38,6 +38,7 @@ arch = [
     to_fc(
         "fc3",
         n_filer="{{4×512×8}}",
+        zlabeloffset=0.35,
         offset="(2,0,0)",
         to="(latent-east)",
         height=1.3,
@@ -49,6 +50,7 @@ arch = [
     # Reshape to 4×8×512
     to_UnPool(
         "up1",
+        n_filer=4,
         offset="(2,0,0)",
         to="(fc3-east)",
         height=H16,
@@ -61,6 +63,7 @@ arch = [
     to_Conv(
         "deconv1",
         s_filer="{{1024×16}}",
+        zlabeloffset=0.2,
         n_filer=8,
         offset="(0,0,0)",
         to="(up1-east)",
@@ -74,6 +77,7 @@ arch = [
     to_UnPool(
         "up2",
         offset="(2,0,0)",
+        n_filer=8,
         to="(deconv1-east)",
         height=H32,
         depth=D2048,
@@ -85,6 +89,7 @@ arch = [
     to_Conv(
         "deconv2",
         s_filer="{{2048×32}}",
+        zlabeloffset=0.15,
         n_filer=1,
         offset="(0,0,0)",
         to="(up2-east)",
@@ -98,6 +103,7 @@ arch = [
     to_Conv(
         "out",
         s_filer="{{2048×32}}",
+        zlabeloffset=0.15,
         n_filer=1,
         offset="(2,0,0)",
         to="(deconv2-east)",