diff --git a/src/TensorFlowNET.Core/Operations/gen_ops.cs b/src/TensorFlowNET.Core/Operations/gen_ops.cs
index e47002ef..6e91be02 100644
--- a/src/TensorFlowNET.Core/Operations/gen_ops.cs
+++ b/src/TensorFlowNET.Core/Operations/gen_ops.cs
@@ -7730,7 +7730,7 @@ namespace Tensorflow.Operations
///
///
/// RFC 4180 format is expected for the CSV records.
- /// (https://tools.ietf.org/html/rfc4180)
+ /// (https://tools.ietensorflow.org/html/rfc4180)
/// Note that we allow leading and trailing spaces with int or float field.
///
public static Tensor[] decode_c_s_v (Tensor records, Tensor[] record_defaults, string field_delim = null, bool? use_quote_delim = null, string na_value = null, int[] select_cols = null, string name = "DecodeCSV")
diff --git a/test/TensorFlowNET.Examples/ImageProcessing/ImageRecognitionInception.cs b/test/TensorFlowNET.Examples/ImageProcessing/ImageRecognitionInception.cs
index 0414d68d..b6d0502f 100644
--- a/test/TensorFlowNET.Examples/ImageProcessing/ImageRecognitionInception.cs
+++ b/test/TensorFlowNET.Examples/ImageProcessing/ImageRecognitionInception.cs
@@ -89,7 +89,7 @@ namespace TensorFlowNET.Examples
Directory.CreateDirectory(dir);
// get model file
- string url = "https://storage.googleapis.com/download.tf.org/models/inception5h.zip";
+ string url = "https://storage.googleapis.com/download.tensorflow.org/models/inception5h.zip";
Utility.Web.Download(url, dir, "inception5h.zip");
diff --git a/test/TensorFlowNET.Examples/ImageProcessing/InceptionArchGoogLeNet.cs b/test/TensorFlowNET.Examples/ImageProcessing/InceptionArchGoogLeNet.cs
index 704067fc..006a614c 100644
--- a/test/TensorFlowNET.Examples/ImageProcessing/InceptionArchGoogLeNet.cs
+++ b/test/TensorFlowNET.Examples/ImageProcessing/InceptionArchGoogLeNet.cs
@@ -93,7 +93,7 @@ namespace TensorFlowNET.Examples
Directory.CreateDirectory(dir);
// get model file
- string url = "https://storage.googleapis.com/download.tf.org/models/inception_v3_2016_08_28_frozen.pb.tar.gz";
+ string url = "https://storage.googleapis.com/download.tensorflow.org/models/inception_v3_2016_08_28_frozen.pb.tar.gz";
Utility.Web.Download(url, dir, $"{pbFile}.tar.gz");
diff --git a/test/TensorFlowNET.Examples/ImageProcessing/RetrainImageClassifier.cs b/test/TensorFlowNET.Examples/ImageProcessing/RetrainImageClassifier.cs
index 7f2d81f4..b9a848ce 100644
--- a/test/TensorFlowNET.Examples/ImageProcessing/RetrainImageClassifier.cs
+++ b/test/TensorFlowNET.Examples/ImageProcessing/RetrainImageClassifier.cs
@@ -33,7 +33,7 @@ namespace TensorFlowNET.Examples
/// and simply train a new classification layer on top. Transfer learning is a technique that shortcuts much of this
/// by taking a piece of a model that has already been trained on a related task and reusing it in a new model.
///
- /// https://www.tf.org/hub/tutorials/image_retraining
+ /// https://www.tensorflow.org/hub/tutorials/image_retraining
///
public class RetrainImageClassifier : IExample
{
@@ -168,7 +168,7 @@ namespace TensorFlowNET.Examples
/// weights, and then sets up all the gradients for the backward pass.
///
/// The set up for the softmax and fully-connected layers is based on:
- /// https://www.tf.org/tutorials/mnist/beginners/index.html
+ /// https://www.tensorflow.org/tutorials/mnist/beginners/index.html
///
///
///
diff --git a/test/TensorFlowNET.UnitTest/VariableTest.cs b/test/TensorFlowNET.UnitTest/VariableTest.cs
index 4d9d1059..e1a91560 100644
--- a/test/TensorFlowNET.UnitTest/VariableTest.cs
+++ b/test/TensorFlowNET.UnitTest/VariableTest.cs
@@ -29,7 +29,7 @@ namespace TensorFlowNET.UnitTest
}
///
- /// https://www.tf.org/api_docs/python/tf/variable_scope
+ /// https://www.tensorflow.org/api_docs/python/tf/variable_scope
/// how to create a new variable
///
[TestMethod]