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# TensorFlow Examples
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Code examples for some popular machine learning algorithms, using TensorFlow library. This tutorial is designed to easily dive into TensorFlow, through examples. It includes both notebook and code with explanations.
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-### Notice:
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-[TFLearn](https://github.com/tflearn/tflearn) is a library that provides a simplified interface for TensorFlow. It was designed to speed-up experimentations. You can have a look, there are many other [examples](https://github.com/tflearn/tflearn/tree/master/examples) and [pre-built operations](http://tflearn.org/doc_index/#api).
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## Tutorial index
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#### 1 - Introduction
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## More Examples
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-These examples are coming from [TFLearn](http://tflearn.org) examples. They require tflearn to be installed in order to work. TFLearn is a simplified interface for TensorFlow that introduce pre-built layers, ops, training functions...
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+The following examples are coming from [TFLearn](https://github.com/tflearn/tflearn), a library that provides a simplified interface for TensorFlow. You can have a look, there are many [examples](https://github.com/tflearn/tflearn/tree/master/examples) and [pre-built operations and layers](http://tflearn.org/doc_index/#api).
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#### Basics
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- [Linear Regression](https://github.com/tflearn/tflearn/blob/master/examples/basics/linear_regression.py). Implement a linear regression using TFLearn.
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Aymeric Damien