2020-08-13 12:00:20 +02:00
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---
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id: 5e8f2f13c4cdbe86b5c72d9e
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2021-07-15 13:04:11 +05:30
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title: '使用 RNN 进行自然语言处理:情感分析'
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2020-08-13 12:00:20 +02:00
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challengeType: 11
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videoId: lYeLtu8Nq7c
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2021-10-03 12:24:27 -07:00
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bilibiliIds:
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aid: 933111408
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bvid: BV1TM4y137VB
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cid: 409135996
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2021-01-13 03:31:00 +01:00
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dashedName: natural-language-processing-with-rnns-sentiment-analysis
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2020-08-13 12:00:20 +02:00
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---
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2020-12-16 00:37:30 -07:00
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# --question--
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2020-08-13 12:00:20 +02:00
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2020-12-16 00:37:30 -07:00
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## --text--
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2020-08-13 12:00:20 +02:00
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2021-07-15 13:04:11 +05:30
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填写下面的空白来创建 RNN 模型:
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2020-08-13 12:00:20 +02:00
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2020-12-16 00:37:30 -07:00
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```py
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model = __A__.keras.Sequential([
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__A__.keras.layers.__B__(88584, 32),
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__A__.keras.layers.__C__(32),
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2022-01-17 01:00:34 +05:30
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__A__.keras.layers.Dense(1, activation='sigmoid')
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2020-12-16 00:37:30 -07:00
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])
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```
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## --answers--
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2020-08-13 12:00:20 +02:00
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2020-12-16 00:37:30 -07:00
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A: `tensor_flow`
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2020-08-13 12:00:20 +02:00
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2020-12-16 00:37:30 -07:00
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B: `embedding`
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2020-08-13 12:00:20 +02:00
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2020-12-16 00:37:30 -07:00
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C: `LSTM`
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2020-08-13 12:00:20 +02:00
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2020-12-16 00:37:30 -07:00
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---
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2020-08-13 12:00:20 +02:00
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2020-12-16 00:37:30 -07:00
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A: `tf`
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2020-08-13 12:00:20 +02:00
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2020-12-16 00:37:30 -07:00
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B: `Embedding`
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C: `AlphaDropout`
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---
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A: `tf`
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B: `Embedding`
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C: `LSTM`
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## --video-solution--
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3
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