freeCodeCamp/curriculum/challenges/chinese/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md
Oliver Eyton-Williams ee1e8abd87
feat(curriculum): restore seed + solution to Chinese (#40683)
* 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>
2021-01-12 19:31:00 -07:00

587 B

id, challengeType, videoId, dashedName
id challengeType videoId dashedName
5e8f2f13c4cdbe86b5c72d9e 11 lYeLtu8Nq7c natural-language-processing-with-rnns-sentiment-analysis

--question--

--text--

Fill in the blanks below to create the model for the RNN:

model = __A__.keras.Sequential([
    __A__.keras.layers.__B__(88584, 32),
    __A__.keras.layers.__C__(32),
    __A__.keras.layers.DENSE(1, activation='sigmoid')
])

--answers--

A: tensor_flow

B: embedding

C: LSTM


A: tf

B: Embedding

C: AlphaDropout


A: tf

B: Embedding

C: LSTM

--video-solution--

3