June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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Use case two
For the acne detection and care system use case, we are relying on an image dataset. We have gathered images from the Dermnet Skin Disease Atlas, which is an open-source database on various skin diseases. The database contains 23 datasets, each on a different skin disease, and each of the categories (including acne and rosacea) has subcategories. The datasets are not easily downloaded as there are too many pages. We have written an image, or image scraper, using Python's Beautiful Soup module, and we have made the scraper generic so that readers can test their LSTM/CNN models on the different skin diseases. The scraper image_scraper.py is available in the chapter's code subfolder, use-case-2. To scrap all 23 datasets, run the ...
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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.