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update readme for v0.18.2 release
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hughperkins committed Jun 7, 2017
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<img src="doc/img/multilayerperceptron.png" />

## Test results, [v0.17.3](https://github.com/hughperkins/tf-coriander/releases/tag/v0.17.3)
## Test results, [v0.18.2](https://github.com/hughperkins/tf-coriander/releases/tag/v0.18.2)

| test | Mac Sierra, using Radeon Pro 450 GPU (thank you [ASAPP](http://asapp.com) :-) ) | Ubuntu 16.04, using NVIDIA K520 |
|----- |-------|-------|
| unit tests (`py.test -v`) | All pass :-) | All pass :-) |
| [linear_regression.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/2_BasicModels/linear_regression.py) | Runs ok, loss decreases | Runs ok, loss decreases |
| [logistic_regression.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/2_BasicModels/logistic_regression.py) | Runs ok, loss decreases | Runs ok, loss decreases |
| [nearest_neighbor.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/2_BasicModels/nearest_neighbor.py) | Ok, accuracy 0.92 | Ok, accuracy 0.92 |
| [autoencoder.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/3_NeuralNetworks/autoencoder.py)| Runs ok, loss decreases | Runs ok, loss decreases |
| [multilayer_perceptron.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/3_NeuralNetworks/multilayer_perceptron.py) | Runs ok, loss decreases | Runs ok, loss decreases |
| [logistic_regression.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/2_BasicModels/logistic_regression.py) | Runs ok, loss decreases | Runs ok, loss decreases |
| [nearest_neighbor.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/2_BasicModels/nearest_neighbor.py) | Runs ok, accuracy 0.92 | Runs ok, accuracy 0.92 |
| [autoencoder.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/3_NeuralNetworks/autoencoder.py)| Hangs | Runs ok, loss decreases |
| [multilayer_perceptron.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/3_NeuralNetworks/multilayer_perceptron.py) | Runs ok, loss | Runs ok, loss decreases |
| [recurrent_network.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/3_NeuralNetworks/recurrent_network.py) | Runs ok, loss decreases | Runs ok, loss decreases |
| [bidirectional_rnn.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/3_NeuralNetworks/bidirectional_rnn.py) | Runs ok, loss decreases | Runs ok, loss decreases |
| [dynamic_rnn.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/3_NeuralNetworks/dynamic_rnn.py) | Runs ok, loss decreases | Runs ok, loss decreases |

## Installation

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For Ubuntu 16.04 and Mac Sierra, there are pre-built wheels available:

- [Mac Sierra](https://github.com/hughperkins/tf-coriander/releases/download/v0.17.3/tensorflow-cl-v0.17.3-macsierra-python3.zip)
- [Ubuntu 16.04](https://github.com/hughperkins/tf-coriander/releases/download/v0.17.3/tensorflow-cl-v0.17.3-ubuntu1604-python3.zip)
- [Mac Sierra](https://github.com/hughperkins/tf-coriander/releases/download/v0.18.2/tensorflow-cl-v0.18.2-macsierra-python3.zip)
- [Ubuntu 16.04](https://github.com/hughperkins/tf-coriander/releases/download/v0.18.2/tensorflow-cl-v0.18.2-ubuntu1604-python3.zip)

Simply download, unzip, then install using `pip`:
```
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## News

- June 7 2017:
- created [v0.18.2 release](https://github.com/hughperkins/tf-coriander/releases/tag/v0.18.2):
- `tf.split` enabled
- following examples from Aymeric Damien's [Tensorflow-Examples](https://github.com/aymericdamien/TensorFlow-Examples) run now:
- [recurrent_network.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/3_NeuralNetworks/recurrent_network.py)
- [bidirectional_rnn.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/3_NeuralNetworks/bidirectional_rnn.py)
- [dynamic_rnn.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/3_NeuralNetworks/dynamic_rnn.py)
- June 2 2017:
- created [v0.17.3 release](https://github.com/hughperkins/tf-coriander/releases/tag/v0.17.3):
- bug fix release:
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