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################################################################
#
# Python package requirements for the TensorFlow Tutorials:
# https://github.com/Hvass-Labs/TensorFlow-Tutorials
#
# If you are using Anaconda then you can install all required
# Python packages by running the following commands in a shell:
#
# conda create --name tf python=3
# source activate tf
# pip install -r requirements.txt
#
# Note that you have to edit this file to select whether you
# want to install the CPU or GPU version of TensorFlow.
#
################################################################
# Basic packages used in many of the tutorials.
numpy
scipy
jupyter
matplotlib
Pillow
scikit-learn
################################################################
# TensorFlow can be installed either as CPU or GPU versions.
# You select which one to install by (un)commenting these lines.
tensorflow # CPU Version of TensorFlow.
# tensorflow-gpu # GPU version of TensorFlow.
################################################################
# Some tutorials use other individual Python packages.
# Uncomment the relevant lines for the tutorials you want to run.
# gym[atari] # Tutorial #16 on Reinforcement Learning.
# pandas # Tutorial #23 on Time-Series Prediction.
################################################################
# PrettyTensor was used as the builder API for several of the
# earlier tutorials. PrettyTensor is apparently no longer being
# maintained and may not work with newer versions of TensorFlow.
# prettytensor
################################################################