Deep Learning for the Internet of Things

In this course learners will learn about deep learning technologies and their usage in 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, convolutational neural networks, and object tracking networks like YOLO and SSD. Learners will also look at how to compose multiple network architectures.