31 lines
600 B
Markdown
31 lines
600 B
Markdown
|
---
|
||
|
|
id: 5e8f2f13c4cdbe86b5c72d9c
|
||
|
|
title: 'Natural Language Processing With RNNs: Part 2'
|
||
|
|
challengeType: 11
|
||
|
|
videoId: mUU9YXOFbZg
|
||
|
|
dashedName: natural-language-processing-with-rnns-part-2
|
||
|
|
---
|
||
|
|
|
||
|
|
# --question--
|
||
|
|
|
||
|
|
## --text--
|
||
|
|
|
||
|
|
Word embeddings are...:
|
||
|
|
|
||
|
|
## --answers--
|
||
|
|
|
||
|
|
an unordered group of encoded words that describes the frequency of words in a given document.
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
a group of encoded words that preserves the original order of the words in a given document.
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
a vectorized representation of words in a given document that places words with similar meanings near each other.
|
||
|
|
|
||
|
|
## --video-solution--
|
||
|
|
|
||
|
|
3
|
||
|
|
|