March 2019
Intermediate to advanced
196 pages
4h 50m
English
Content preview from TensorFlow 2.0 Quick Start Guide
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The dataset
The following is from the README that accompanies the database (http://ai.stanford.edu/~amaas/data/sentiment/):
"The core dataset contains 50,000 reviews split evenly into 25k train and 25k test sets. The overall distribution of labels is balanced (25k pos and 25k neg)." "In the entire collection, no more than 30 reviews are allowed for any given movie because reviews for the same movie tend to have correlated ratings. Further, the train and test sets contain a disjoint set of movies, so no significant performance is obtained by memorizing movie-unique terms and their associated with observed labels. In the labeled train/test sets, a negative review has a score <= 4 out of 10, and a positive review has a score >= 7 out of 10. ...
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