|
@@ -1,9 +1,6 @@
|
|
|
# TensorFlow Examples
|
|
# TensorFlow Examples
|
|
|
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.
|
|
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.
|
|
|
|
|
|
|
|
-### Notice:
|
|
|
|
|
-[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).
|
|
|
|
|
-
|
|
|
|
|
## Tutorial index
|
|
## Tutorial index
|
|
|
|
|
|
|
|
#### 1 - Introduction
|
|
#### 1 - Introduction
|
|
@@ -31,7 +28,7 @@ Code examples for some popular machine learning algorithms, using TensorFlow lib
|
|
|
|
|
|
|
|
|
|
|
|
|
## More Examples
|
|
## More Examples
|
|
|
-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...
|
|
|
|
|
|
|
+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).
|
|
|
|
|
|
|
|
#### Basics
|
|
#### Basics
|
|
|
- [Linear Regression](https://github.com/tflearn/tflearn/blob/master/examples/basics/linear_regression.py). Implement a linear regression using TFLearn.
|
|
- [Linear Regression](https://github.com/tflearn/tflearn/blob/master/examples/basics/linear_regression.py). Implement a linear regression using TFLearn.
|
Aymeric Damien