Appendix B. Running Jupyter notebooks on an EC2 GPU instance
This appendix provides a step-by-step guide to running deep-learning Jupyter notebooks on an AWS GPU instance and editing the notebooks from anywhere in your browser. This is the perfect setup for deep-learning research if you don’t have a GPU on your local machine. The original (and up-to-date) version of this guide can be found at https://blog.keras.io.
B.1. What are Jupyter notebooks? Why run Jupyter notebooks on AWS GPUs?
A Jupyter notebook is a web app that allows you to write and annotate Python code interactively. It’s a great way to experiment, do research, and share what you’re working on.
Many deep-learning applications are very computationally intensive and can take hours ...
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