January 2018
Beginner to intermediate
284 pages
8h 35m
English
Content preview from Deep Learning Essentials
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SPICE
Semantic Propositional Image Caption Evaluation (SPICE) is based on semantic scene graphs and has shown that it correlates much better with human judgments in comparison to the aforementioned standard measures. The author of this metric illustrated that the previous metrics are sensitive to n-gram overlap, which is neither necessary nor sufficient for two sentences to convey the same meaning. However, SPICE focuses on recovering objects, attributes, and the relations between them; it does not count in the aspects of grammar and syntax. Similar to n-gram based metrics, SPICE implicitly assumes that the caption has been well-formed. It would be recommended to include a fluency metric.
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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.