diff --git a/convert_model/mnist_eg/__init__.py b/convert_model/mnist_eg/__init__.py
index 511de2e..cdca76c 100644
--- a/convert_model/mnist_eg/__init__.py
+++ b/convert_model/mnist_eg/__init__.py
@@ -5,29 +5,13 @@
 n_classes = 10
 
 
-def conv_layer():
-    return k.layers.Conv2D(
-        32,
-        (3, 3),
-        activation="relu",
-        kernel_initializer="he_uniform",
-    )
-
-
-def pool_layer():
-    return k.layers.MaxPool2D((2, 2), strides=(2, 2))
-
-
 def mnist_model():
     model = k.Sequential(
         [
             k.Input(shape=in_shape),
-            conv_layer(),
-            pool_layer(),
-            conv_layer(),
-            pool_layer(),
             k.layers.Flatten(),
-            k.layers.Dense(500, activation="relu", kernel_initializer="he_uniform"),
+            k.layers.Dense(128, activation="relu"),
+            k.layers.Dense(500, activation="relu"),
             k.layers.Dense(n_classes),
         ]
     )
diff --git a/convert_model/mnist_eg/cm.py b/convert_model/mnist_eg/cm.py
index 299f842..51118c6 100644
--- a/convert_model/mnist_eg/cm.py
+++ b/convert_model/mnist_eg/cm.py
@@ -29,7 +29,7 @@ def main():
     mlmodel = convert(model)
     builder = nn_builder(mlmodel)
     config_builder(builder)
-    try_make_layers_updatable(builder, 2)
+    try_make_layers_updatable(builder)
     builder.inspect_layers()
     save_builder(builder, COREML_FILE)
     print(f"Successfully converted to Core ML model at {COREML_FILE}.")
diff --git a/upload_mnist_models.py b/upload_mnist_models.py
index ca3ee0f..3cc9fdc 100644
--- a/upload_mnist_models.py
+++ b/upload_mnist_models.py
@@ -3,14 +3,12 @@
 tflite_file = "mnist.tflite"
 coreml_file = "mnist.mlmodel"
 name = "mnist_unified"
-tflite_layers = [1152, 128, 36864, 128, 1600000, 2000, 20000, 40]
+tflite_layers = [401408, 512, 256000, 2000, 20000, 40]
 coreml_layers = [
-    {"name": "sequential/conv2d/BiasAdd", "type": "weights", "updatable": False},
-    {"name": "sequential/conv2d/BiasAdd", "type": "bias", "updatable": False},
-    {"name": "sequential/conv2d_1/BiasAdd", "type": "weights", "updatable": False},
-    {"name": "sequential/conv2d_1/BiasAdd", "type": "bias", "updatable": False},
     {"name": "sequential/dense/BiasAdd", "type": "weights", "updatable": True},
     {"name": "sequential/dense/BiasAdd", "type": "bias", "updatable": True},
+    {"name": "sequential/dense_1/BiasAdd", "type": "weights", "updatable": True},
+    {"name": "sequential/dense_1/BiasAdd", "type": "bias", "updatable": True},
     {"name": "Identity", "type": "weights", "updatable": True},
     {"name": "Identity", "type": "bias", "updatable": True},
 ]