February 2020
Intermediate to advanced
328 pages
8h 19m
English
Content preview from Deep Learning with R Cookbook
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How it works...
In Step 1, we preprocessed the raw data in the text and summary by converting all the data into lowercase and replacing contractions such as "don't", "I'm", to, "do not", and "I am", respectively. Then, we removed any punctuation, non-alphanumeric characters, and stopwords such as "I", "me", "you", "for", and so on.
Note that we didn't remove any stopwords from the summary because doing so can lead to changes in the meaning of the summary. For example, a summary that says "not that great" will become "great" after removing any stopwords.
In Step 2, we put special start and end tokens in the summary, which in this case is the target text. The prediction of the first word of the target sequence happens when the model is provided ...
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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.
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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.