Deep Learning for the Internet of Things
Training Provider: NATIONAL UNIVERSITY OF SINGAPORE
Course Reference: TGS-2022013118
S$630
Original: S$2,100
Save S$1,470
About This Course
At the end of the course, participants will be able to:
1. design and build sophisticated deep learning neural networks to analyse, understand and react to the Internet of Things (IoT) data
What You'll Learn
In this course, learners will learn about deep learning technologies and their usage in Internet of Things (IoT). Topics covered include the limitations of neural networks and the motivation behind deep learning, handling time series with long-short term memories, autoregressive networks, generative adversarial networks, convolutional neural networks, and object tracking networks like You Only Look Once (YOLO) and Single Shot Detector (SSD). Learners will also look at how to compose multiple network architectures.
Entry Requirements
Bachelor's Degree in Computer Science, Electrical Engineering, with programming knowledge. Other Bachelor Degree holders who can exhibit programming experience may also be considered. Learners must complete the Neural Networks for the Internet of Things course.
Course Details
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
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