diff --git a/src/TensorFlowNET.Core/TensorFlowNET.Core.csproj b/src/TensorFlowNET.Core/TensorFlowNET.Core.csproj
index 526ccb8d..7ac5063c 100644
--- a/src/TensorFlowNET.Core/TensorFlowNET.Core.csproj
+++ b/src/TensorFlowNET.Core/TensorFlowNET.Core.csproj
@@ -27,7 +27,8 @@ Docs: https://tensorflownet.readthedocs.io</Description>
 6. Add Local Response Normalization.
 7. Add tf.image related APIs.
 8. Add tf.random_normal, tf.constant, tf.pad, tf.shape, tf.image.resize_nearest_neighbor.
-9. MultiThread is safe.</PackageReleaseNotes>
+9. MultiThread is safe.
+10. Support n-dim indexing for tensor.</PackageReleaseNotes>
     <LangVersion>7.3</LangVersion>
     <FileVersion>0.11.2.0</FileVersion>
     <PackageLicenseFile>LICENSE</PackageLicenseFile>
diff --git a/src/TensorFlowNET.Core/Tensors/Tensor.Index.cs b/src/TensorFlowNET.Core/Tensors/Tensor.Index.cs
index 244c0ccf..6632550f 100644
--- a/src/TensorFlowNET.Core/Tensors/Tensor.Index.cs
+++ b/src/TensorFlowNET.Core/Tensors/Tensor.Index.cs
@@ -17,6 +17,7 @@
 using NumSharp;
 using System;
 using System.Collections.Generic;
+using System.Linq;
 using System.Text;
 using static Tensorflow.Binding;
 
@@ -24,11 +25,84 @@ namespace Tensorflow
 {
     public partial class Tensor
     {
-        public Tensor this[int idx]
+        public Tensor this[int idx] => slice(idx);
+
+        public Tensor this[params string[] slices]
         {
             get
             {
-                return slice(idx);
+                var slice_spec = slices.Select(x => x == null ? null : new Slice(x)).ToArray();
+                var begin = new List<int>();
+                var end = new List<int>();
+                var strides = new List<int>();
+
+                var index = 0;
+                var (new_axis_mask, shrink_axis_mask) = (0, 0);
+                var (begin_mask, end_mask) = (0, 0);
+                var ellipsis_mask = 0;
+
+                foreach (var s in slice_spec)
+                {
+                    if(s == null)
+                    {
+                        begin.Add(0);
+                        end.Add(0);
+                        strides.Add(0);
+                        new_axis_mask |= (1 << index);
+                    }
+                    else
+                    {
+                        if (s.Start.HasValue)
+                        {
+                            begin.Add(s.Start.Value);
+                        }
+                        else
+                        {
+                            begin.Add(0);
+                            begin_mask |= (1 << index);
+                        }
+
+                        if (s.Stop.HasValue)
+                        {
+                            end.Add(s.Stop.Value);
+                        }
+                        else
+                        {
+                            end.Add(0);
+                            end_mask |= (1 << index);
+                        }
+
+                        strides.Add(s.Step);
+                    }
+
+                    index += 1;
+                }
+
+                return tf_with(ops.name_scope(null, "strided_slice", new { begin, end, strides }), scope =>
+                {
+                    string name = scope;
+                    if (begin != null)
+                    {
+                        var (packed_begin, packed_end, packed_strides) =
+                            (array_ops.stack(begin.ToArray()),
+                                array_ops.stack(end.ToArray()),
+                                array_ops.stack(strides.ToArray()));
+
+                        return gen_array_ops.strided_slice(
+                            this,
+                            packed_begin,
+                            packed_end,
+                            packed_strides,
+                            begin_mask: begin_mask,
+                            end_mask: end_mask,
+                            shrink_axis_mask: shrink_axis_mask,
+                            new_axis_mask: new_axis_mask,
+                            ellipsis_mask: ellipsis_mask,
+                            name: name);
+                    }
+
+                    throw new NotImplementedException("");
+                });
             }
         }