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Neural Networks Notebooks

Examples and exercises with scikit-learn and keras.

  • Linear Perceptron
  • Multilayer Perceptron
  • Deep Learning

Prerequisites

Basic Installation

We recommend using Miniconda and creating an environment:

  • Conda quick install
  • conda create --name py27 python=2.7
  • source activate py27
  • conda install scikit-learn
  • conda install jupyter
  • conda install matplotlib pil

Packages for Deep Learning

  • conda install -c conda-forge tensorflow=0.11.0
  • conda install -c conda-forge keras=1.0.7

Switching from Theano to Tensorflow

The Keras package will automatically install and use Theano 0.8.2 as its tensor manipulation library. Follow these instructions to configure the Keras backend.

Usage

Download, run jupyter notebook index.ipynb in the root folder, and enjoy!

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