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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2021/2022

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DRPS : Course Catalogue : Deanery of Molecular, Genetic and Population Health Sciences : Forensic Medicine and Science

Postgraduate Course: Credits Awarded for Taught Courses [University of Glasgow] Deep Learning (M) COMPSCI15085 (FREN11062)

Course Outline
SchoolDeanery of Molecular, Genetic and Population Health Sciences CollegeCollege of Medicine and Veterinary Medicine
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThis is a placeholder course, designed to record marks for the University of Glasgow part of the programme, PRPHDISPME1F: Precision Medicine (PhD with Integrated Study)
Course description Please see [University of Glasgow] Deep Learning (M) COMPSCI15085 for Components of Assessment
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Not being delivered
Learning Outcomes
On completion of this course, the student will be able to:
  1. Understand the major technology trends in advanced machine learning
  2. Build, train and apply fully connected deep neural networks
  3. Know how to implement efficient, vectorised neural networks in python and understand the underlying backends
  4. Apply deep learning methods to new applications
  5. Understand the machine learning pipeline, and engineering aspects of training data collation, and the importance of unlabelled data
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsNot entered
Contacts
Course organiserDr Susan Farrington
Tel: (0131) 332 2471
Email: Susan.Farrington@ed.ac.uk
Course secretaryMrs Maree Hardie
Tel:
Email: maree.hardie@ed.ac.uk
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