diff --git a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflowModel.java b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflowModel.java
index 3b1e3f85d..112a58b09 100644
--- a/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflowModel.java
+++ b/com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflowModel.java
@@ -228,12 +228,23 @@ public void testTf2()
     testTf2("tensorflow_gan_tutorial.py", "train_step", 1, 2, 2);
     testTf2("tensorflow_gan_tutorial2.py", "train_step", 1, 2, 2);
     testTf2("tensorflow_eager_execution.py", "MyModel.call", 1, 1, 3);
-    testTf2("neural_network.py", "NeuralNet.call", 1, 5, 3);
-    testTf2("neural_network.py", "cross_entropy_loss", 2, 6, 2, 3);
-    testTf2("neural_network.py", "run_optimization", 2, 3, 2, 3);
-    // FIXME: This test is disabled because, currently, the number of expected tensor parameters
-    // differs between calls to accuracy(). They should be consistent.
-    // testTf2("neural_network.py", "accuracy", 2, 5, 2, 3);
+    testTf2("neural_network.py", "NeuralNet.call", 1, 1, 3);
+    testTf2(
+        "neural_network.py",
+        "cross_entropy_loss",
+        1,
+        4,
+        3); // NOTE: Change to 2 tensor parameters once https://github.com/wala/ML/issues/127 is
+    // fixed. Values 2 and 3 will correspond to the tensor parameters.
+    testTf2("neural_network.py", "run_optimization", 2, 2, 2, 3);
+    testTf2(
+        "neural_network.py",
+        "accuracy",
+        1,
+        3,
+        3); // NOTE: Change to 2 tensor parameters and 5 tensor variables once
+    // https://github.com/wala/ML/issues/127 is fixed. Values 2 and 3 will correspond to the
+    // tensor parameters.
   }
 
   private void testTf2(
diff --git a/com.ibm.wala.cast.python.ml/data/tensorflow.xml b/com.ibm.wala.cast.python.ml/data/tensorflow.xml
index f0120b300..e4f30ff9b 100644
--- a/com.ibm.wala.cast.python.ml/data/tensorflow.xml
+++ b/com.ibm.wala.cast.python.ml/data/tensorflow.xml
@@ -171,6 +171,9 @@
         <putfield class="LRoot" field="Input" fieldType="LRoot" ref="keras" value="Input" />
         <putfield class="LRoot" field="Input" fieldType="LRoot" ref="layers" value="Input" />
 
+        <new def="Dense" class="Ltensorflow/keras/layers/Dense" />
+        <putfield class="LRoot" field="Dense" fieldType="LRoot" ref="layers" value="Dense" />
+
         <new def="Variable" class="Ltensorflow/functions/Variable" />
         <putfield class="LRoot" field="Variable" fieldType="LRoot" ref="x" value="Variable" />
         <putfield class="LRoot" field="Variable" fieldType="LRoot" ref="variables" value="Variable" />
@@ -800,6 +803,33 @@
       </class>
     </package>
 
+    <package name="tensorflow/keras/layers">
+      <class name="Dense" allocatable="true">
+        <!-- https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/keras/layers/Dense -->
+        <method name="do" descriptor="()LRoot;" numArgs="11" paramNames="self units activation use_bias kernel_initializer bias_initializer kernel_regularizer bias_regularizer activity_regularizer kernel_constraint bias_constraint">
+          <new def="__call__" class="Ltensorflow/keras/layers/__call__" />
+          <putfield class="LRoot" field="__call__" fieldType="LRoot" ref="arg0" value="__call__" />
+          <new def="call" class="Ltensorflow/keras/layers/call" />
+          <putfield class="LRoot" field="call" fieldType="LRoot" ref="arg0" value="call" />
+          <return value="arg0" />
+        </method>
+      </class>
+      <!-- FIXME: These methods must be called explicitly. The implicit cases blocked on https://github.com/wala/ML/issues/127. -->
+      <class name="__call__" allocatable="true">
+        <!-- https://github.com/keras-team/keras/blob/07e13740fd181fc3ddec7d9a594d8a08666645f6/keras/layers/core/dense.py#L166-L240 -->
+        <method name="do" descriptor="()LRoot;" numArgs="2" paramNames="self inputs">
+          <return value="inputs" />
+        </method>
+      </class>
+      <!-- FIXME: Workaround for https://github.com/wala/ML/issues/106. -->
+      <class name="call" allocatable="true">
+        <!-- https://github.com/keras-team/keras/blob/07e13740fd181fc3ddec7d9a594d8a08666645f6/keras/layers/core/dense.py#L166-L240 -->
+        <method name="do" descriptor="()LRoot;" numArgs="2" paramNames="self inputs">
+          <return value="inputs" />
+        </method>
+      </class>
+    </package>
+
     <package name="tensorflow/data">
       <class name="Dataset" allocatable="true">
         <!-- "read_dataset" means that this function reads a tensor iterable. -->