/machine-learning-demystified

A weekly workshop series at ITP to teach machine learning with a focus on deep learning

Primary LanguageJupyter Notebook

Machine Learning Demystified

A weekly workshop series at NYU ITP to teach machine learning with a focus on deep learning

Week1

Setup Environment

1) Install miniconda

2) Open Terminal

  • Type: bash /path/to/the/file/you/just/downloaded
  • You can just drag the bash file you download into your terminal window from where you installed it   - Press Enter to continue
  • Review the license and approve the license terms - type in yes and press enter
  • Press Enter again to confirm the location of install
  • Type yes when it asks you if the install location should be prepended to PATH
  • Restart Terminal for changes to take effect
  • Type: conda info
  • If it prints out some stuff then it has installed correctly

3) Create an environment

  • Open Terminal
  • Type: conda create -n tensor python=3.5.2
  • Type: y (and press Enter)
  • This will create a conda environment with the name 'tensor' and python version 3.5.2

4) Activate environment

  • Open Terminal
  • Type: source activate tensor
  • You should see (tensor) prepended before your terminal prompt

5) Install dependencies

  • Make sure you can see (tensor) prepended before the terminal prompt before proceeding
  • Type: conda install numpy matplotlib jupyter
  • Type: y (and press Enter)
  • Type: pip install nltk gensim keras gym

6) Install Tensor Flow

  • In the same terminal window type: pip install tensorflow
  • If the above command gives an error (it shows up in red color in your terminal only then do the following):
    • Type: pip install https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.0.0-py3-none-any.whl