Beginning Artificial Intelligence Through Neuroscience (Synchronous e-learning)
About This Course
Neuroscience helped inspire deep learning, which is the basis of Artificial Intelligence (AI) technologies like speech recognition and face recognition, and is being developed for applications such as assisted interpretation of medical images
This course introduces the relevant neuroscience, including the function and connectivity of the cerebral cortex, which is used to motivate the architecture of deep learning artificial neural networks. Participants will learn the mathematical and statistical concepts needed to fit models to data beginning with simple examples such as linear regression and binary classification, followed by application of these principles to train deep learning models. There will be opportunities for participants to experience hands-on coding with common AI tools. Potential dangers of AI will also be examined and discussed.
At the end of the course, participants will be able to:
- Understand fundamental AI concepts to effectively manage AI technology
- Acquire basic coding skills to construct simple AI systems
- Build a simple deep learning model and deploy it as required
What You'll Learn
This course introduces the relevant neuroscience, including the function and connectivity of the cerebral cortex, which is used to motivate the architecture of deep learning artificial neural networks. Participants will learn the mathematical and statistical concepts needed to fit models to data; beginning with simple examples such as linear regression and binary classification, followed by application of these principles to train deep learning models. There will be opportunities for participants to experience hands-on coding with common AI tools. Potential dangers of AI will also be examined and discussed.
Entry Requirements
AO-level or H1 level mathematics or equivalent