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keras_handson's Introduction

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

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