add model trained on low-resolution data (#1)

- add model trained on low-resolution data (7d51bc656ebcfd2ea548a12c351d9a00b9c64693)

nn_architecture.txt

@@ -0,0 +1,19 @@
+FullyCNN(
+  (0): Conv2d(2, 128, kernel_size=(5, 5), stride=(1, 1))
+  (1): ReLU()
+  (2): Conv2d(128, 64, kernel_size=(5, 5), stride=(1, 1))
+  (3): ReLU()
+  (4): Conv2d(64, 32, kernel_size=(3, 3), stride=(1, 1))
+  (5): ReLU()
+  (6): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1))
+  (7): ReLU()
+  (8): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1))
+  (9): ReLU()
+  (10): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1))
+  (11): ReLU()
+  (12): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1))
+  (13): ReLU()
+  (14): Conv2d(32, 4, kernel_size=(3, 3), stride=(1, 1))
+  (final_transformation): SoftPlusTransform(Parameter containing:
+  tensor(0.1000, requires_grad=True))
+)

trained_model.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a3c8f9bda445fc500382294a56e481d1300cfc57a912cb4006b5e31ab81bd957
+size 1077412