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add word2vec for TF2.0
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README.md

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@@ -4,7 +4,7 @@ This tutorial was designed for easily diving into TensorFlow, through examples.
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It is suitable for beginners who want to find clear and concise examples about TensorFlow. Besides the traditional 'raw' TensorFlow implementations, you can also find the latest TensorFlow API practices (such as `layers`, `estimator`, `dataset`, ...).
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**Update (08/09/2019):** Added new [TensorFlow 2.0 examples](tensorflow_v2)! (more coming soon).
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**Update (08/17/2019):** Added new [TensorFlow 2.0 examples](tensorflow_v2)! (more coming soon).
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*If you are using older TensorFlow version (0.11 and under), please take a [look here](https://github.com/aymericdamien/TensorFlow-Examples/tree/0.11).*
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tensorflow_v2/README.md

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#### 2 - Basic Models
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- **Linear Regression** ([notebook](https://github.com/aymericdamien/TensorFlow-Examples/blob/master/tensorflow_v2/notebooks/2_BasicModels/linear_regression.ipynb)). Implement a Linear Regression with TensorFlow 2.0.
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- **Logistic Regression** ([notebook](https://github.com/aymericdamien/TensorFlow-Examples/blob/master/tensorflow_v2/notebooks/2_BasicModels/logistic_regression.ipynb)). Implement a Logistic Regression with TensorFlow 2.0.
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- **Word2Vec (Word Embedding)** ([notebook](https://github.com/aymericdamien/TensorFlow-Examples/blob/master/tensorflow_v2/notebooks/2_BasicModels/word2vec.ipynb)). Build a Word Embedding Model (Word2Vec) from Wikipedia data, with TensorFlow 2.0.
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#### 3 - Neural Networks
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##### Supervised

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