Examples and exercises with scikit-learn and keras.
- Linear Perceptron
- Multilayer Perceptron
- Deep Learning
- Python 2.7.x
- scikit-learn
- Jupyter notebook
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
conda install -c conda-forge tensorflow=0.11.0
conda install -c conda-forge keras=1.0.7
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.
Download, run jupyter notebook index.ipynb
in the root folder, and enjoy!