ee1e8abd87
* feat(tools): add seed/solution restore script * chore(curriculum): remove empty sections' markers * chore(curriculum): add seed + solution to Chinese * chore: remove old formatter * fix: update getChallenges parse translated challenges separately, without reference to the source * chore(curriculum): add dashedName to English * chore(curriculum): add dashedName to Chinese * refactor: remove unused challenge property 'name' * fix: relax dashedName requirement * fix: stray tag Remove stray `pre` tag from challenge file. Signed-off-by: nhcarrigan <nhcarrigan@gmail.com> Co-authored-by: nhcarrigan <nhcarrigan@gmail.com>
581 B
581 B
id, title, challengeType, videoId, dashedName
| id | title | challengeType | videoId | dashedName |
|---|---|---|---|---|
| 5e8f2f13c4cdbe86b5c72d9d | Natural Language Processing With RNNs: Recurring Neural Networks | 11 | bX5681NPOcA | natural-language-processing-with-rnns-recurring-neural-networks |
--question--
--text--
What is true about Recurrent Neural Networks?
--answers--
1: They are a type of feed-forward neural network.
2: They maintain an internal memory/state of the input that was already processed.
3: RNN's contain a loop and process one piece of input at a time.
4: Both 2 and 3.
--video-solution--
4