diff --git a/src/ops/lrn.ts b/src/ops/lrn.ts
index b7b11ce2a1..56bae55108 100644
--- a/src/ops/lrn.ts
+++ b/src/ops/lrn.ts
@@ -29,9 +29,8 @@ export class LRNOps {
    * @param x The input tensor. The 4-D input tensor is treated as a 3-D array
    *     of 1D vectors (along the last dimension), and each vector is
    *     normalized independently.
-   * @param radius The number of adjacent channels or spatial locations of the
-   *     1D normalization window. In Tensorflow this param is called
-   *     'depth_radius' because only 'acrossChannels' mode is supported.
+   * @param depthRadius The number of adjacent channels in the 1D normalization
+   *     window.
    * @param bias A constant bias term for the basis.
    * @param alpha A scale factor, usually positive.
    * @param beta An exponent.
@@ -39,16 +38,16 @@ export class LRNOps {
   @doc({heading: 'Operations', subheading: 'Normalization'})
   @operation
   static localResponseNormalization<T extends Tensor3D|Tensor4D>(
-      x: T, radius = 5, bias = 1, alpha = 1, beta = 0.5): T {
+      x: T, depthRadius = 5, bias = 1, alpha = 1, beta = 0.5): T {
     util.assertArgumentsAreTensors({x}, 'localResponseNormalization');
     util.assert(
         x.rank === 4 || x.rank === 3,
         `Error in localResponseNormalization: x must be rank 3 or 4 but got
                rank ${x.rank}.`);
     util.assert(
-        util.isInt(radius),
-        `Error in localResponseNormalization3D: radius must be an integer
-                     but got radius ${radius}.`);
+        util.isInt(depthRadius),
+        `Error in localResponseNormalization: depthRadius must be an integer
+                     but got depthRadius ${depthRadius}.`);
 
     let x4D = x as Tensor4D;
     let reshapedTo4D = false;
@@ -58,7 +57,7 @@ export class LRNOps {
     }
     const res = ENV.engine.runKernel(
         backend => backend.localResponseNormalization4D(
-            x4D, radius, bias, alpha, beta),
+            x4D, depthRadius, bias, alpha, beta),
         {x4D});
     if (reshapedTo4D) {
       return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;