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Tamás Srancsik
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Fixed the broken links to examples.
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‎README.md‎

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* [Hello World](test/TensorFlowNET.Examples/HelloWorld.cs)
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* [Basic Operations](test/TensorFlowNET.Examples/BasicOperations.cs)
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* [Linear Regression](test/TensorFlowNET.Examples/LinearRegression.cs)
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* [Logistic Regression](test/TensorFlowNET.Examples/LogisticRegression.cs)
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* [Nearest Neighbor](test/TensorFlowNET.Examples/NearestNeighbor.cs)
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* [Naive Bayes Classification](test/TensorFlowNET.Examples/NaiveBayesClassifier.cs)
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* [Image Recognition](test/TensorFlowNET.Examples/ImageRecognition.cs)
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* [K-means Clustering](test/TensorFlowNET.Examples/KMeansClustering.cs)
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* [NN XOR](test/TensorFlowNET.Examples/NeuralNetXor.cs)
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* [Object Detection](test/TensorFlowNET.Examples/ObjectDetection.cs)
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* [Text Classification](test/TensorFlowNET.Examples/TextClassificationWithMovieReviews.cs)
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* [CNN Text Classification](test/TensorFlowNET.Examples/CnnTextClassification.cs)
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* [Named Entity Recognition](test/TensorFlowNET.Examples/NamedEntityRecognition.cs)
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* [Linear Regression](test/TensorFlowNET.Examples/BasicModels/LinearRegression.cs)
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* [Logistic Regression](test/TensorFlowNET.Examples/BasicModels/LogisticRegression.cs)
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* [Nearest Neighbor](test/TensorFlowNET.Examples/BasicModels/NearestNeighbor.cs)
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* [Naive Bayes Classification](test/TensorFlowNET.Examples/BasicModels/NaiveBayesClassifier.cs)
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* [Image Recognition](test/TensorFlowNET.Examples/ImageProcess)
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* [K-means Clustering](test/TensorFlowNET.Examples/BasicModels/KMeansClustering.cs)
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* [NN XOR](test/TensorFlowNET.Examples/BasicModels/NeuralNetXor.cs)
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* [Object Detection](test/TensorFlowNET.Examples/ImageProcess/ObjectDetection.cs)
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* [Text Classification](test/TensorFlowNET.Examples/TextProcess/BinaryTextClassification.cs)
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* [CNN Text Classification](test/TensorFlowNET.Examples/TextProcess/cnn_models/VdCnn.cs)
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* [Named Entity Recognition](test/TensorFlowNET.Examples/TextProcess/NER)
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### Contribute:
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‎docs/source/ImageRecognition.md‎

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2/18/2019 3:56:25 AM Completed InceptionArchGoogLeNet
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```
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You can find the full source code from [github](https://github.com/SciSharp/TensorFlow.NET/tree/master/test/TensorFlowNET.Examples).
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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

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![linear-regression](_static/linear-regression-tensor-board.png)
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The full example is [here](https://github.com/SciSharp/TensorFlow.NET/blob/master/test/TensorFlowNET.Examples/LinearRegression.cs).
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The full example is [here](https://github.com/SciSharp/TensorFlow.NET/blob/master/test/TensorFlowNET.Examples/BasicModels/LinearRegression.cs).

‎docs/source/LogisticRegression.md‎

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Softmax regression allows us to handle ![1557035393445](_static\logistic-regression\1557035393445.png) where K is the number of classes.
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The full example is [here](https://github.com/SciSharp/TensorFlow.NET/blob/master/test/TensorFlowNET.Examples/LogisticRegression.cs).
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The full example is [here](https://github.com/SciSharp/TensorFlow.NET/blob/master/test/TensorFlowNET.Examples/BasicModels/LogisticRegression.cs).

‎docs/source/NearestNeighbor.md‎

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# Chapter. Nearest Neighbor
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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.
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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.
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The full example is [here](https://github.com/SciSharp/TensorFlow.NET/blob/master/test/TensorFlowNET.Examples/BasicModels/NearestNeighbor.cs).

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