_:n45efc57516ae4d06a719953db6871e30xb42
<http://schema.org/reviewBody>
"Not as strong as the previous 2 courses in the specialization.   Each step building on itself (embedding --&gt; LSTM --&gt; stacked LSTMs) did not really show much improvement in the actual exercise.  Also the main pieces that impacted accuracy and loss the (buffer size and batch size using SHUFFLE and BATCH_SIZE) were completely ignored.  I also wish there were graded exercises that forced me to learn both the data ingestion, tokenization, and training pieces.  I struggled through those in course 1 &amp; 2 but it paid off in my understanding.  Data preparation wasn't covered as in depth as the computer vision course either (i.e. how do I deal with large data? can I flow them in like the image generator?).  Lots of broken links as well (some people might not know to go find the github repo to get the optional exercises)."
<https://ko.coursera.org/learn/natural-language-processing-tensorflow/reviews?authMode=login&page=38>