# TensorFlow Examples
Basic code examples for some machine learning algorithms, using TensorFlow library.

## Tutorial index

#### 1 - Introduction
- Hello World ([code](https://github.com/aymericdamien/TensorFlow-Examples/blob/master/helloworld.py))
- Basic Operations ([code](https://github.com/aymericdamien/TensorFlow-Examples/blob/master/basic_operations.py))

#### 2 - Basic Classifiers
- Nearest Neighbor ([code](https://github.com/aymericdamien/TensorFlow-Examples/blob/master/nearest_neighbor.py))
- Linear Regression ([code](https://github.com/aymericdamien/TensorFlow-Examples/blob/master/linear_regression.py))
- Logistic Regression ([code](https://github.com/aymericdamien/TensorFlow-Examples/blob/master/logistic_regression.py))

#### 3 - Neural Networks
- Multilayer Perceptron ([code](https://github.com/aymericdamien/TensorFlow-Examples/blob/master/multilayer_perceptron.py))
- Convolutional Neural Network ([code](https://github.com/aymericdamien/TensorFlow-Examples/blob/master/convolutional_network.py))
- AlexNet ([code](https://github.com/aymericdamien/TensorFlow-Examples/blob/master/alexnet.py))
- Reccurent Network ([code](https://github.com/aymericdamien/TensorFlow-Examples/blob/master/recurrent_network.py))

### 4 - Multi GPU
- Basic Operations on multi-GPU ([code](https://github.com/aymericdamien/TensorFlow-Examples/blob/master/multigpu_basics.py))

## Dependencies
```
tensorflow
numpy
matplotlib
cuda (to run examples on GPU)
```

_Other tutorials are coming soon..._