2020-08-13 12:00:20 +02:00
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---
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id: 5e8f2f13c4cdbe86b5c72da0
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challengeType: 11
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videoId: j5xsxjq_Xk8
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2021-01-13 03:31:00 +01:00
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dashedName: natural-language-processing-with-rnns-create-a-play-generator
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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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2020-12-16 00:37:30 -07:00
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Fill in the blanks below to create the training examples for the RNN:
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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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char_dataset = tf.data.__A__.__B__(text_as_int)
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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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## --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: `DataSet`
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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: `from_tensor_slices`
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---
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A: `data`
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B: `from_tensors`
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---
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A: `DataSet`
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B: `from_generator`
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## --video-solution--
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1
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