requirements.txt

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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.
#
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# Basic packages used in many of the tutorials.

numpy
scipy
jupyter
matplotlib
Pillow
scikit-learn

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# 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

################################################################