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Recent Trends in Deep Learning for Computer Vision – Learning Outcomes

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By the end of this module, you will be able to:

Outline the concepts of zero-shot and few-short learnings
Identify the methods that improve the performance of learning models
Explain the significance of self-supervised learning in computer vision
State the procedures for tackling the malfunctions of learning models
Discuss the various methods of model compression
Summarize the functions of neural architecture search in deep learning