This repository contains several ipython notebooks with machine learning tutorials using python, keras and tensorflow.

1. Installation
2. Setup
3. Sessions
4. Usage

• This code has been tested in a Linux machine with python 2.7. It should work on Mac OS X as well.
• Follow these instructions to install tensorflow 0.10 with pip.
• Install other dependencies pip install -r requirements.txt.

Run python setup.py to collect datasets and models before we begin, to avoid problems if notebooks freeze at some point.

• AWS Setup
• Logistic Regression
• Multiclass Classification
• Deep models
• Convolutional Neural Networks
• Visualization
• GAN
• Deep Dream
• Neural Style
• Object Detection I
• Object Detection II
• Object Tracking I
• Object Tracking II
• LSTM char generation
• Embeddings
• 20news
• Question Answering

jupyter notebook

Then navigate to:

http://localhost:8888

and start editing the notebooks.