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Deep Learning Course/Summer school
The summer school:
Neuromatch Academy aims to introduce traditional and emerging tools of computational neuroscience and deep learning to trainees with an emphasis on theory and model building. Our student population ranges from undergraduates to faculty in academic settings and also includes industry professionals. Students have a diversity of backgrounds including experimental and computational neuroscience and machine learning. In addition to teaching the technical details of computational methods, we also provide a curriculum centered on modern neuroscience concepts taught by leading professors along with explicit instruction on how and why to apply models.Â
Background
I got recommended this course by a colleague of mine after I expressed interest in artificial intelligence. After looking up the program and making sure that I had the necessary qualifications to start the course, I applied for a spot and was given one. With this summer school I hoped to deepen my knowledge about a different subject to help myself in future projects and research endeavors.
My certificate of completion for the summer school
Impact
This summer school allowed me to read up on more modern techniques within the cardiac field and think about new applications and possibilities for deep learning within cardiology. This resulted in a cardiac deep learning project that is currently ongoing (an abstract was already published, but the eventual manuscript is still being written). As soon as the whole project is finished, I will post an update on this page.
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