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Applied Artificial Intelligence for Health Research
Resource details
On completion of this module you will :
- Be able to implement simple fully connected networks from scratch in Python. and common deep networks in PyTorch
- Be exposed to a wide range of deep learning applications for healthcare and be comfortable applying the ideas raised in the module to your own research
- Understand the strengths and limitations of deep learning and how to adapt modern networks to work on challenging real-world medical imaging data
- Understand how to validate models effectively and troubleshoot problems with their architectures
| Contributed by: | Artificial Intelligence |
| Authored by: |
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| Licence: | Creative Commons: Attribution-NonCommercial-ShareAlike 4.0 International More information on licences |
| First contributed: | 11 June 2024 |
| Audience access level: | Full user |
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