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]