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@@ -138,6 +138,7 @@ IPython Notebook(s) demonstrating deep learning functionality.
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|[ts-regularization](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-exercises/3_regularization.ipynb)| Explore regularization techniques by training fully connected networks to classify notMNIST characters in TensorFlow. |
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|[ts-convolutions](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-exercises/4_convolutions.ipynb)| Create convolutional neural networks in TensorFlow. |
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|[ts-word2vec](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-exercises/5_word2vec.ipynb)| Train a skip-gram model over Text8 data in TensorFlow. |
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|[ts-lstm](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-exercises/6_lstm.ipynb)| Train a LSTM character model over Text8 data in TensorFlow. |
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