Exercise

Part 2: Exploring the to_categorical() function

In part 1, you implemented the compute_onehot_length() function which did not use the num_classes argument while computing onehot vectors.

The num_classes argument controls the length of the one-hot encoded vectors produced by the to_categorical() function. You will see that in situations where you have two different corpora (i.e. collections of texts) with different vocabularies, leaving the num_classes undefined can result in one-hot vectors of varying length.

For this exercise, the compute_onehot_length() function and the word2index dictionary have been provided.

Instructions

100 XP
  • Call compute_onehot_length() on words_1.
  • Call compute_onehot_length() on words_2.
  • Print the lengths of one-hot vectors obtained for words_1 and words_2.