intel-analytics/BigDL-Tutorials

Step-by-step Deep Leaning Tutorials on Apache Spark using BigDL

DISCONTINUATION OF PROJECT

This project will no longer be maintained by Intel. Intel has ceased development and contributions including, but not limited to, maintenance, bug fixes, new releases, or updates, to this project. Intel no longer accepts patches to this project.

Deep Learning Tutorials on Apache Spark using BigDL

Step-by-step Deep Learning Tutorials on Apache Spark using BigDL. The tutorials are inspired by Apache Spark examples, the Theano Tutorials and the Tensorflow tutorials.

Topics

1. RDD
2. DataFrame
3. SparkSQL
4. StructureStreaming
5. Forward and backward
6. Linear Regression
7. Introduction to MNIST
8. Logistic Regression
9. Feedforward Neural Network
10. Convolutional Neural Network
11. Recurrent Neural Network
12. LSTM
13. Bi-directional RNN
14. Auto-encoder
15. Visualizing Learning

Environment

• Python 3.5/3.6
• JDK 8
• Apache Spark >= 2.2.1
• Jupyter Notebook 4.1
• BigDL 0.7.0
• Setup env on Mac OS / Setup env on Linux

Start Jupyter Server

• Run pip install BigDL==0.7.0
• Run jupyter notebook --notebook-dir=./ --ip=0.0.0.0 --no-browser

Start Toree Kernel to Run Scala Notebooks

• Run pip install BigDL==0.7.0
• Run pip install https://dist.apache.org/repos/dist/release/incubator/toree/0.2.0-incubating/toree-pip/toree-0.2.0.tar.gz
• Run ./toree_install.sh
• Run jupyter notebook --notebook-dir=./ --ip=0.0.0.0 --no-browser

Run Demo

• Open a browser - Suggest Chrome or Firefox or Safari
• Access notebook client at address http://localhost:8888, open the example ipynb files and execute.