Merge pull request #18 from donnemartin/feature/deep-learning

Add TensorFlow and DeepDream deep learning notebooks

Author: donnemartin

README.md

@@ -5,7 +5,7 @@
 
 # data-science-ipython-notebooks
 
-This repo is a collection of IPython Notebooks I reference while working with data.  Although I developed and maintain most notebooks, some notebooks I reference were created by other authors, who are credited within their notebook(s) by providing their names and/or a link to their source.
+This repo is a collection of IPython Notebooks I reference while working with data.  Although I developed and maintain many notebooks, other notebooks I reference were created by various authors, who are credited within their notebook(s) by providing their names and/or a link to their source.
 
 For detailed instructions, scripts, and tools to more optimally set up your development environment for data analysis, check out the [dev-setup](https://github.com/donnemartin/dev-setup) repo.
 
@@ -21,6 +21,7 @@ For detailed instructions, scripts, and tools to more optimally set up your deve
 * [amazon web services](#aws)
 * [kaggle-and-business-analyses](#kaggle-and-business-analyses)
 * [scikit-learn](#scikit-learn)
+* [deep-learning](#deep-learning)
 * [statistical-inference-scipy](#statistical-inference-scipy)
 * [pandas](#pandas)
 * [matplotlib](#matplotlib)
@@ -120,6 +121,25 @@ IPython Notebook(s) demonstrating scikit-learn functionality.
 | [gmm](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scikit-learn/scikit-learn-gmm.ipynb) | Gaussian mixture models. |
 | [validation](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scikit-learn/scikit-learn-validation.ipynb) | Validation and model selection. |
 
+<br/>
+<p align="center">
+  <img src="http://i.imgur.com/ZhKXrKZ.png">
+</p>
+
+## deep-learning
+
+IPython Notebook(s) demonstrating deep learning functionality.
+
+| Notebook | Description |
+|--------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| [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. |
+| [ts-not-mnist](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-exercises/1_notmnist.ipynb) | Learn simple data curation by creating a pickle with formatted datasets for training, development and testing in TensorFlow. |
+| [ts-fully-connected](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-exercises/2_fullyconnected.ipynb) |  Progressively train deeper and more accurate models using logistic regression and neural networks in TensorFlow. |
+| [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. |
+| [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. |
+| [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. |
+| [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. |
+
 <br/>
 <p align="center">
   <img src="https://raw.githubusercontent.com/donnemartin/data-science-ipython-notebooks/master/images/scipy.png">