Changed all urls of tf.org to tensorflow.org

src/TensorFlowNET.Core/Operations/gen_ops.cs

@@ -7730,7 +7730,7 @@ namespace Tensorflow.Operations
         /// </returns>
         /// <remarks>
         ///    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.
         /// </remarks>
         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")

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");
 

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");
 

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
     /// </summary>
     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
         /// </summary>
         /// <param name="class_count"></param>
         /// <param name="final_tensor_name"></param>

test/TensorFlowNET.UnitTest/VariableTest.cs

@@ -29,7 +29,7 @@ namespace TensorFlowNET.UnitTest
         }
 
         /// <summary>
-        /// 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
         /// </summary>
         [TestMethod]