October 2018
Intermediate to advanced
472 pages
10h 57m
English
Content preview from Python Deep Learning Projects
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Summary
Today's project was to build a DL computational linguistics model using word2vec to accurately classify text in a sentiment analysis paradigm. Our hypothetical use case was to apply DL to enable the management of a restaurant chain to understand the general sentiment of text responses their customers made, in response to a phone text question asking about their experience after dining. Our specific task was to build the natural language processing model that would create business intelligence from the data obtained in this simple (hypothetical) application.
Revisit our success criteria: How did we do? Did we succeed? What is the impact of success? Just as we defined success at the beginning of the project, these are the key questions ...
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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.