Juypter notebooks

The notebookes have been tested and validated on UCL’s Unified AI platform, a high-performance AI infrastructure for research at UCL, using a namespace configured with 5 CPUs and 64 GB RAM.

The notebooks should also run in any standard environment, provided that the required dependencies are installed.

If you need support with AI platforms, with or without GPUs, Carpentries training, or any other computing-related resources, please do not hesitate to contact ARC Collaborations team.

Notebooks

• 1-dependencies.ipynb View on GitHub or Download
• 2-keras.ipynb View on GitHub or Download
• 3-monitor-the-model.ipynb View on GitHub or Download
• 4-advanced-layer-types.ipynb View on GitHub or Download
• 5-transfer-learning.ipynb View on GitHub or Download