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  • Jim Dodd thinks this is interesting:

Here’s what the samples look like now

From

Cover of Deep Learning with Python

Note

He did not just convert this into a convenient-sized tensor. He also reduced the information. Instead of a sequence of words the data has been reduced to a binary indicator of whether the word occurred at least once. This is a significant loss of information. As noted earlier the input to the next work must be between 0 and 1.