Merge pull request #251 from SrancsikAtBitrise/master

Fixed the broken links to examples.

README.md

@@ -128,18 +128,18 @@ Read the docs & book [The Definitive Guide to Tensorflow.NET](https://tensorflow
 
 * [Hello World](test/TensorFlowNET.Examples/HelloWorld.cs)
 * [Basic Operations](test/TensorFlowNET.Examples/BasicOperations.cs)
-* [Linear Regression](test/TensorFlowNET.Examples/LinearRegression.cs)
-* [Logistic Regression](test/TensorFlowNET.Examples/LogisticRegression.cs)
-* [Nearest Neighbor](test/TensorFlowNET.Examples/NearestNeighbor.cs)
-* [Naive Bayes Classification](test/TensorFlowNET.Examples/NaiveBayesClassifier.cs)
-* [Image Recognition](test/TensorFlowNET.Examples/ImageRecognition.cs)
-* [K-means Clustering](test/TensorFlowNET.Examples/KMeansClustering.cs)
-* [NN XOR](test/TensorFlowNET.Examples/NeuralNetXor.cs)
-* [Object Detection](test/TensorFlowNET.Examples/ObjectDetection.cs)
-* [Text Classification](test/TensorFlowNET.Examples/TextClassificationWithMovieReviews.cs)
-* [CNN Text Classification](test/TensorFlowNET.Examples/CnnTextClassification.cs)
-
-* [Named Entity Recognition](test/TensorFlowNET.Examples/NamedEntityRecognition.cs)
+* [Linear Regression](test/TensorFlowNET.Examples/BasicModels/LinearRegression.cs)
+* [Logistic Regression](test/TensorFlowNET.Examples/BasicModels/LogisticRegression.cs)
+* [Nearest Neighbor](test/TensorFlowNET.Examples/BasicModels/NearestNeighbor.cs)
+* [Naive Bayes Classification](test/TensorFlowNET.Examples/BasicModels/NaiveBayesClassifier.cs)
+* [Image Recognition](test/TensorFlowNET.Examples/ImageProcess)
+* [K-means Clustering](test/TensorFlowNET.Examples/BasicModels/KMeansClustering.cs)
+* [NN XOR](test/TensorFlowNET.Examples/BasicModels/NeuralNetXor.cs)
+* [Object Detection](test/TensorFlowNET.Examples/ImageProcess/ObjectDetection.cs)
+* [Text Classification](test/TensorFlowNET.Examples/TextProcess/BinaryTextClassification.cs)
+* [CNN Text Classification](test/TensorFlowNET.Examples/TextProcess/cnn_models/VdCnn.cs)
+
+* [Named Entity Recognition](test/TensorFlowNET.Examples/TextProcess/NER)
 
 ### Contribute:
 

docs/source/ImageRecognition.md

@@ -133,4 +133,4 @@ grace_hopper.jpg: 466 bulletproof vest, 0.005350832
 2/18/2019 3:56:25 AM Completed InceptionArchGoogLeNet
 ```
 
-You can find the full source code from [github](https://github.com/SciSharp/TensorFlow.NET/tree/master/test/TensorFlowNET.Examples). 
+You can find the full source code from [github](https://github.com/SciSharp/TensorFlow.NET/tree/master/test/TensorFlowNET.Examples/ImageProcess). 

docs/source/LinearRegression.md

@@ -87,4 +87,4 @@ When we visualize the graph in TensorBoard:
 
 ![linear-regression](_static/linear-regression-tensor-board.png)
 
-The full example is [here](https://github.com/SciSharp/TensorFlow.NET/blob/master/test/TensorFlowNET.Examples/LinearRegression.cs).
+The full example is [here](https://github.com/SciSharp/TensorFlow.NET/blob/master/test/TensorFlowNET.Examples/BasicModels/LinearRegression.cs).

docs/source/LogisticRegression.md

@@ -13,4 +13,4 @@ The dependent variable of logistics regression can be two-category or multi-cate
 Softmax regression allows us to handle ![1557035393445](_static\logistic-regression\1557035393445.png) where K is the number of classes.
 
 
-The full example is [here](https://github.com/SciSharp/TensorFlow.NET/blob/master/test/TensorFlowNET.Examples/LogisticRegression.cs).
+The full example is [here](https://github.com/SciSharp/TensorFlow.NET/blob/master/test/TensorFlowNET.Examples/BasicModels/LogisticRegression.cs).

docs/source/NearestNeighbor.md

@@ -1,3 +1,5 @@
 # Chapter. Nearest Neighbor
 
-The nearest neighbour algorithm was one of the first algorithms used to solve the travelling salesman problem. In it, the salesman starts at a random city and repeatedly visits the nearest city until all have been visited. It quickly yields a short tour, but usually not the optimal one.
+The nearest neighbour algorithm was one of the first algorithms used to solve the travelling salesman problem. In it, the salesman starts at a random city and repeatedly visits the nearest city until all have been visited. It quickly yields a short tour, but usually not the optimal one.
+
+The full example is [here](https://github.com/SciSharp/TensorFlow.NET/blob/master/test/TensorFlowNET.Examples/BasicModels/NearestNeighbor.cs).