diff --git a/src/TensorFlowNET.Core/APIs/tf.nn.cs b/src/TensorFlowNET.Core/APIs/tf.nn.cs
index e5ecb908..7b9d0a2c 100644
--- a/src/TensorFlowNET.Core/APIs/tf.nn.cs
+++ b/src/TensorFlowNET.Core/APIs/tf.nn.cs
@@ -148,6 +148,21 @@ namespace Tensorflow
                 });
             }
 
+            /// <summary>
+            /// Local Response Normalization.
+            /// </summary>
+            /// <param name="input"></param>
+            /// <param name="depth_radius"></param>
+            /// <param name="bias"></param>
+            /// <param name="alpha"></param>
+            /// <param name="beta"></param>
+            /// <param name="name"></param>
+            /// <returns></returns>
+            public Tensor lrn(Tensor input, int depth_radius = 5, int bias = 1,
+                int alpha = 1, float beta = 0.5f, string name = null)
+                => gen_nn_ops.local_response_normalization(input, depth_radius: depth_radius, bias: bias,
+                    alpha: alpha, beta: beta, name: name);
+
             public rnn_cell_impl rnn_cell => new rnn_cell_impl();
 
             public Tensor softmax(Tensor logits, int axis = -1, string name = null)
diff --git a/src/TensorFlowNET.Core/Operations/NnOps/gen_nn_ops.cs b/src/TensorFlowNET.Core/Operations/NnOps/gen_nn_ops.cs
index 6c31eb62..f1e40151 100644
--- a/src/TensorFlowNET.Core/Operations/NnOps/gen_nn_ops.cs
+++ b/src/TensorFlowNET.Core/Operations/NnOps/gen_nn_ops.cs
@@ -181,6 +181,31 @@ namespace Tensorflow.Operations
             return _op.outputs;
         }
 
+        /// <summary>
+        /// Local Response Normalization.
+        /// </summary>
+        /// <param name="input"></param>
+        /// <param name="depth_radius"></param>
+        /// <param name="bias"></param>
+        /// <param name="alpha"></param>
+        /// <param name="beta"></param>
+        /// <param name="name"></param>
+        /// <returns></returns>
+        public static Tensor local_response_normalization(Tensor input, int depth_radius = 5, int bias = 1,
+            int alpha = 1, float beta = 0.5f, string name = null)
+        {
+            var _op = _op_def_lib._apply_op_helper("LRN", name: name, args: new
+            {
+                input,
+                depth_radius,
+                bias,
+                alpha,
+                beta
+            });
+
+            return _op.output;
+        }
+
         public static Tensor log_softmax(Tensor logits, string name = null)
         {
             var _op = _op_def_lib._apply_op_helper("LogSoftmax", name: name, args: new