diff --git a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/Nd4j.java b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/Nd4j.java
index e04f20deb..2d9b8774c 100644
--- a/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/Nd4j.java
+++ b/nd4j/nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/factory/Nd4j.java
@@ -3098,10 +3098,10 @@ public class Nd4j {
     }
 
     /**
-     * @deprecated use {@link Nd4j#randn(long, long...)}
+     * @deprecated use {@link Nd4j#randn(long, long[])}
      */
     @Deprecated
-    public static INDArray randn(int[] shape, long seed) {
+    public static INDArray randn(long seed, int[] shape) {
         return randn(seed, ArrayUtil.toLongArray(shape));
     }
 
@@ -3111,60 +3111,11 @@ public class Nd4j {
      * @param shape the shape of the array
      * @return new array with random values
      */
-    public static INDArray randn(long seed, @NonNull long... shape) {
+    public static INDArray randn(long seed, @NonNull long[] shape) {
         INDArray ret = Nd4j.createUninitialized(shape, order());
         return randn(ret, seed);
     }
 
-    /**
-     * Random normal N(0, 1)
-     *
-     * @param rows    the number of rows in the matrix
-     * @param columns the number of columns in the matrix
-     * @return new array with random values
-     */
-    public static INDArray randn(long rows, long columns) {
-        INDArray ret = Nd4j.createUninitialized(new long[]{rows, columns}, order());
-        return randn(ret);
-    }
-
-    /**
-     * Random normal N(0,1) with the specified shape and array order
-     *
-     * @param order   the order of the output array
-     * @param rows    the number of rows in the matrix
-     * @param columns the number of columns in the matrix
-     */
-    /*public static INDArray randn(char order, long rows, long columns) {
-        INDArray ret = Nd4j.createUninitialized(new long[]{rows, columns}, order);
-        return randn(ret);
-    }*/
-
-    /**
-     * Random normal using the specified seed
-     *
-     * @param rows    the number of rows in the matrix
-     * @param columns the number of columns in the matrix
-     * @return new array with random values
-     */
-    /*public static INDArray randn(long rows, long columns, long seed) {
-        INDArray ret = Nd4j.createUninitialized(new long[]{rows, columns}, order());
-        return randn(ret, seed);
-    }*/
-
-    /**
-     * Random normal using the given rng
-     *
-     * @param rows    the number of rows in the matrix
-     * @param columns the number of columns in the matrix
-     * @param r       the random generator to use
-     * @return new array with random values
-     */
-    /*public static INDArray randn(long rows, long columns, @NonNull org.nd4j.linalg.api.rng.Random r) {
-        INDArray ret = Nd4j.createUninitialized(new long[]{rows, columns}, order());
-        return randn(ret, r);
-    }*/
-
     /**
      * @deprecated use {@link Nd4j#randn(org.nd4j.linalg.api.rng.Random, long...)}
      */
diff --git a/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/linalg/dataset/NormalizerStandardizeLabelsTest.java b/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/linalg/dataset/NormalizerStandardizeLabelsTest.java
index ed9139f40..c0cd788b8 100644
--- a/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/linalg/dataset/NormalizerStandardizeLabelsTest.java
+++ b/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/linalg/dataset/NormalizerStandardizeLabelsTest.java
@@ -191,7 +191,7 @@ public class NormalizerStandardizeLabelsTest extends BaseNd4jTest {
             // transform ndarray as X = aA + bB * X
             INDArray randomFeatures = Nd4j.zeros(nSamples, nFeatures);
             while (i < nFeatures) {
-                INDArray randomSlice = Nd4j.randn(new int[]{nSamples, 1}, randSeed);
+                INDArray randomSlice = Nd4j.randn(randSeed, new long[]{nSamples, 1});
                 randomSlice.muli(aA.getScalar(0, i));
                 randomSlice.addi(bB.getScalar(0, i));
                 randomFeatures.putColumn(i, randomSlice);
diff --git a/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/linalg/dataset/NormalizerStandardizeTest.java b/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/linalg/dataset/NormalizerStandardizeTest.java
index 9372f2627..bdfcf596f 100644
--- a/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/linalg/dataset/NormalizerStandardizeTest.java
+++ b/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/linalg/dataset/NormalizerStandardizeTest.java
@@ -309,7 +309,7 @@ public class NormalizerStandardizeTest extends BaseNd4jTest {
             INDArray randomFeatures = Nd4j.zeros(nSamples, nFeatures);
             INDArray randomFeaturesTransform = Nd4j.zeros(nSamples, nFeatures);
             while (i < nFeatures) {
-                INDArray randomSlice = Nd4j.randn(new int[]{nSamples, 1}, randSeed);
+                INDArray randomSlice = Nd4j.randn(randSeed, new long[]{nSamples, 1});
                 randomFeaturesTransform.putColumn(i, randomSlice);
                 randomSlice.muli(aA.getScalar(0, i));
                 randomSlice.addi(bB.getScalar(0, i));
diff --git a/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/linalg/rng/RandomTests.java b/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/linalg/rng/RandomTests.java
index aa39be145..f95842cc2 100644
--- a/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/linalg/rng/RandomTests.java
+++ b/nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/linalg/rng/RandomTests.java
@@ -906,8 +906,8 @@ public class RandomTests extends BaseNd4jTest {
     public void testSignatures1() {
 
         for (int x = 0; x < 100; x++) {
-            INDArray z1 = Nd4j.randn(new int[]{128, 1}, 5325235);
-            INDArray z2 = Nd4j.randn(new int[]{128, 1}, 5325235);
+            INDArray z1 = Nd4j.randn(5325235, new long[]{128, 1});
+            INDArray z2 = Nd4j.randn(5325235, new long[]{128, 1});
 
             assertEquals(z1, z2);
         }