January 2019
Intermediate to advanced
390 pages
9h 16m
English
Content preview from Hands-On Artificial Intelligence for IoT
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Summary
This chapter focused on providing the reader with tools to handle different types of data and how to prepare them for the deep learning models. We started with time series data. This chapter next detailed how textual data needs to be preprocessed. This chapter showed how to perform data augmentation, an important technique for image classification and object detection. We next moved on to handling video; we show how to form image frames from a video. Next, this chapter covered audio files; we formed a time series and mel spectrogram from an audio file. Finally, we moved on to cloud platforms and discussed the features and services provided by three major cloud service providers.
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.