Deep Learning, Sentiment Analysis, Machine Learning, Editors Pick, Hands On Tutorials.
words, obtained by running: len(encoder.get_vocabulary()) So the model takes the vocabulary size as input, via input_dim, and returns an output of size 64, defined using output_dim. And because you specified a vocabulary size of 151, the largest integer in the mapping will be 150. Loading data and