January 2018
Intermediate to advanced
310 pages
7h 48m
English
Content preview from Deep Learning for Computer Vision
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Expressing words in vector form
Words expressed in vector form can help perform arithmetic operations on themselves. The vector has to be compact, with less dimension. Synonyms should have similar vectors and antonyms should have a different vector. Words can be converted to vectors so that relations can be compared as shown here:
This vector arithmetic enables comparison in semantic space between different entities. Next, we will see how to create a deep learning model that can convert words to a vector representation.
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