@seanmor5

In the chapter about “Understanding Text” a FFN is implemeneted that outputs an accuracy of 0.7676411 on the test dataset in page 213. Then the book moves on to implement an RNN that outputs an accuracy of 0.7510081 on the test dataset in page 219. I was a bit puzzled since the expectation and description is that the RNN would perform better but the results proof otherwise.

Is this intentional? Or perhaps the examples in the book are missing some updates.