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Companion Jupyter notebooks for the book "Deep Learning with Python"

This repository contains Jupyter notebooks implementing the code samples found in the book Deep Learning with Python (Manning Publications). Note that the original text of the book features far more content than you will find in these notebooks, in particular further explanations and figures. Here we have only included the code samples themselves and immediately related surrounding comments.

These notebooks use Python 3.6 and Keras 2.0.8. They were generated on a p2.xlarge EC2 instance.

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Run on Polyaxon

In order to run these Jupyter notebooks on Polyaxon:

  • Deploy Polyaxon
  • Install the polyaxon-cli
  • To run the notebooks on GPU use polyaxonfile_gpu.yml instead of polyaxonfile.yml
# Clone the project 
git clone https://github.com/polyaxon/deep-learning-with-python-notebooks-on-polyaxon.git

cd deep-learning-with-python-notebooks-on-polyaxon

# Login to polyaxon
polyaxon login --username=<USERNAME>

# Create Project
polyaxon project create --name='deep-learning-with-python-notebooks-on-polyaxon' --description='Jupyter notebooks for the code samples of the book "Deep Learning with Python" on Polyaxon'

# Init the project
polyaxon init deep-learning-with-python-notebooks-on-polyaxon

# Start the Jupyter notebook on polyaxon with the notebooks
polyaxon notebook start -f polyaxonfile.yml -u

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