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.
- Chapter 2:
- Chapter 3:
- Chapter 4:
- Chapter 5:
- Chapter 6:
- Chapter 8:
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 ofpolyaxonfile.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