Deep learning with keras (Hand-ons)

1. Install python and virtual enviroment tools

1.1 On MAC: Refer https://qiita.com/7110/items/1aa5968022373e99ae28

• Install python

/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
brew install python3
python3 -V
pip3 install virtualenv

• Create virtual enviroment

virtualenv --python=/usr/local/bin/python3 --no-site-packages ~/python_env/default_py3

1.2 On windows: No care

1.3 On Linux : DIY

2. Install requirement library into "virtual enviroment"

• Activate created virtual enviroment

source ~/python_env/default_py3/bin/activate

• Install numpy

pip install numpy

• Install tensorflow and keras

pip install keras tensorflow

• Install matplotlib

pip install matplotlib

• Install Jupyter notebook

pip install jupyter

3. Clone source code

git clone https://github.com/minatu2d/keras_handson.git

4. Run code on Jupyter notebook

• Activate created virtual enviroment if not yet

source ~/python_env/default_py3/bin/activate

• Change directory to source code

cd keras_handson

• Run Jupyter under keras_handson directory

jupyter notebook