README

data-science-ipython-notebooks

 Index

 deep-learning
     tensorflow
     theano
     keras
     caffe
 scikit-learn
 statistical-inference-scipy
 pandas
 matplotlib
 numpy
 python-data
 kaggle-and-business-analyses
 spark
 mapreduce-python
 amazon web services
 command lines
 misc
 notebook-installation
 credits
 contributing
 contact-info
 license



  


 deep-learning

IPython Notebook(s) demonstrating deep learning functionality.



  


 tensor-flow-tutorials

Additional TensorFlow tutorials:

 pkmital/tensorflow_tutorials
 nlintz/TensorFlow-Tutorials
 alrojo/tensorflow-tutorial
 BinRoot/TensorFlow-Book
 tuanavu/tensorflow-basic-tutorials

| Notebook | Description |
|--------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| tsf-basics | Learn basic operations in TensorFlow, a library for various kinds of perceptual and language understanding tasks from Google. |
| tsf-linear | Implement linear regression in TensorFlow. |
| tsf-logistic | Implement logistic regression in TensorFlow. |
| tsf-nn | Implement nearest neighboars in TensorFlow. |
| tsf-alex | Implement AlexNet in TensorFlow. |
| tsf-cnn | Implement convolutional neural networks in TensorFlow. |
| tsf-mlp | Implement multilayer perceptrons in TensorFlow. |
| tsf-rnn | Implement recurrent neural networks in TensorFlow. |
| tsf-gpu | Learn about basic multi-GPU computation in TensorFlow. |
| tsf-gviz | Learn about graph visualization in TensorFlow. |
| tsf-lviz | Learn about loss visualization in TensorFlow. |

 tensor-flow-exercises

| Notebook | Description |
|--------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| tsf-not-mnist | Learn simple data curation by creating a pickle with formatted datasets for training, development and testing in TensorFlow. |
| tsf-fully-connected | Progressively train deeper and more accurate models using logistic regression and neural networks in TensorFlow. |
| tsf-regularization | Explore regularization techniques by training fully connected networks to classify notMNIST characters in TensorFlow. |
| tsf-convolutions | Create convolutional neural networks in TensorFlow. |
| tsf-word2vec | Train a skip-gram model over Text8 data in TensorFlow. |
| tsf-lstm | Train a LSTM character model over Text8 data in TensorFlow. |



  


 theano-tutorials

| Notebook | Description |
|--------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------