diff --git a/cnn_training.py b/cnn_training.py
index f69c795..8ff0eee 100644
--- a/cnn_training.py
+++ b/cnn_training.py
@@ -76,6 +76,7 @@ def main(
         conv_0_enable_softmax=bool(config["conv_0_enable_softmax"]),
         conv_0_power_softmax=float(config["conv_0_power_softmax"]),
         conv_0_meanmode_softmax=bool(config["conv_0_meanmode_softmax"]),
+        conv_0_no_input_mode_softmax=bool(config["conv_0_no_input_mode_softmax"]),
         scale_data=int(config["scale_data"]),
         use_scheduler=bool(config["use_scheduler"]),
         use_adam=bool(config["use_adam"]),
@@ -120,6 +121,7 @@ def run_network(
     conv_0_enable_softmax: bool,
     conv_0_power_softmax: float,
     conv_0_meanmode_softmax: bool,
+    conv_0_no_input_mode_softmax: bool,
     scale_data: float,
     use_scheduler: bool,
     use_adam: bool,
@@ -249,6 +251,7 @@ def run_network(
             l_relu_negative_slope=leak_relu_negative_slope,
             conv_0_power_softmax=conv_0_power_softmax,
             conv_0_meanmode_softmax=conv_0_meanmode_softmax,
+            conv_0_no_input_mode_softmax=conv_0_no_input_mode_softmax,
         ).to(device)
 
     logger.info(model)
diff --git a/config.json b/config.json
index f47f0b4..6edeb9e 100644
--- a/config.json
+++ b/config.json
@@ -29,10 +29,15 @@
     "minimum_learning_rate": 1e-10,
     "learning_rate": 1e-4,
     // <- LR Scheduler
+    // type of pooling layer ->
     "pooling_type": "max", // (max), average, none
+    // <- type of pooling layer 
+    // convolution layer 0 softmax parameters ->
     "conv_0_enable_softmax": true, // true, (false)
     "conv_0_power_softmax": 0.0, // (0.0) = Exp
     "conv_0_meanmode_softmax": false, // true, false
+    "conv_0_no_input_mode_softmax": false, // true, (false)
+    // <- convolution layer 0 softmax parameters
     "use_adam": true, // (true) => adam, false => SGD
     "condition": "Coignless",
     "scale_data": 255.0, // (255.0)