June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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Deep Learning Architectures for IoT
In the era of the Internet of Things (IoT), an enormous amount of sensory data for a wide range of fields and applications is being generated and collected from numerous sensing devices. Applying analytics over such data streams to discover new information, predict future insights, and make controlled decisions, is a challenging task, which makes IoT a worthy paradigm for business intelligence and quality-of-life improving technology. However, analytics on IoT—enabled devices requires a platform consisting of machine learning (ML) and deep learning (DL) frameworks, a software stack, and hardware (for example, a Graphical Processing Unit (GPU) and Tensor Processing Unit (TPU)).
In this chapter, we will discuss ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.