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@@ -97,6 +97,7 @@ IPython Notebook(s) demonstrating deep learning functionality.
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|[theano-scan](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/theano-tutorial/scan_tutorial/scan_tutorial.ipynb)| Learn scans, a mechanism to perform loops in a Theano graph. |
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|[theano-logistic](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/theano-tutorial/intro_theano/logistic_regression.ipynb)| Implement logistic regression in Theano. |
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|[theano-rnn](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/theano-tutorial/rnn_tutorial/simple_rnn.ipynb)| Implement recurrent neural networks in Theano. |
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|[theano-mlp](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/theano-tutorial/theano_mlp/theano_mlp.ipynb)| Implement multilayer perceptrons in Theano. |
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|[deep-dream](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/deep-dream/dream.ipynb)| Caffe-based computer vision program which uses a convolutional neural network to find and enhance patterns in images. |
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