Tag: deep learning

ECON1000 S2 2023 – Marking Guidance and FAQs on GTP

Students will be marked on the extent to which they specifically answer the question and provide clear, logical, well-reasoned and sufficient explanations. Here is a summary breakdown of how marks are allocated in this GTP: Part 1 [15 marks] §  Providing relevant observations from the information provided in the articles

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ECON1000 S2 2023 – GTP Brief

ECON1000 S2 2023 – GTP Brief A.  Context and Overview The Game Theory Presentation (GTP) is worth 30% of the final mark. GTP is a ‘take-home’ exercise with a set of tasks to do. The GTP is based on Lecture Topics: L1 and L2. You will have twenty (21) days

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NRS386 – Nursing Workplace Learning 5 Assignment Help

NRS386 – Nursing Workplace Learning 5 Assessment Task 2 Case Study: Extended Responses Due Date: 24th of May 2023 [add approved extension if applicable] Length: 1800 words Student Name: [Insert here] Student Number: [Insert here] Lecturer’s Name: [Insert here] Question 1 [Write your response to this section here.] [Write your

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FACIAL EXPRESSION RECOGNITION USING YOLO 5

ABSTRACT Facial expression recognition has been an active research area over the past few decades, and it is still challenging due to its high intra-class variation. Most of these works perform reasonably well on datasets of images captured in a controlled condition but fail to perform as good on more

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