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Merge pull request #251 from SrancsikAtBitrise/master 

Fixed the broken links to examples.
tags/v0.9
Haiping GitHub 6 years ago
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5 changed files with 18 additions and 16 deletions
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      README.md
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      docs/source/ImageRecognition.md
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      docs/source/LinearRegression.md
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      docs/source/LogisticRegression.md
  5. +3
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      docs/source/NearestNeighbor.md

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README.md View File

@@ -128,18 +128,18 @@ Read the docs & book [The Definitive Guide to Tensorflow.NET](https://tensorflow


* [Hello World](test/TensorFlowNET.Examples/HelloWorld.cs) * [Hello World](test/TensorFlowNET.Examples/HelloWorld.cs)
* [Basic Operations](test/TensorFlowNET.Examples/BasicOperations.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: ### Contribute:




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docs/source/ImageRecognition.md View File

@@ -133,4 +133,4 @@ grace_hopper.jpg: 466 bulletproof vest, 0.005350832
2/18/2019 3:56:25 AM Completed InceptionArchGoogLeNet 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).

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docs/source/LinearRegression.md View File

@@ -87,4 +87,4 @@ When we visualize the graph in TensorBoard:


![linear-regression](_static/linear-regression-tensor-board.png) ![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).

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docs/source/LogisticRegression.md View File

@@ -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. 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).

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docs/source/NearestNeighbor.md View File

@@ -1,3 +1,5 @@
# Chapter. Nearest Neighbor # 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).

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