June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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The acne dataset
We have used the acne and rosacea images dataset. The following screenshot presents a folder view of the dataset, including the number of images in the class. Unfortunately, as we can see, only four of the folders or classes have 100 or more images:
As we are using MobileNet v1 architecture, any class with lower than 100 images might show an error. In fact, we have tested this and found the data size-related error. In this context, we have chosen a reduced dataset, which consists of only four classes of data that have more than 100 images.
The following screenshot shows the reduced acne dataset following exploration:
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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.