Home - GCP
All the labs and demos in the class can be performed on your personal machine (Windows or Mac). However, if you do not have access to a suitable machine, you may also use the widely-used Google Cloud Platform (GCP). Among other benefits, using GCP will allow you to leverage Google's powerful and scalable compute and storage infrastructure. These resources will be particularly valuable for project work beyond the simple labs in this class.
To use GCP, we provide the following instructions (some instructions are still being developed):
- Creating a virtual machine with python and jupyter notebook
- Using third party SSH client
- Connecting to Google cloud storage
- Installing Tensorflow [To be developed]
- Running Jupyter notebook and Tensorflow using Docker