Assignments and Supplemental Reading Materials
Explore supplemental reading materials and assignments that deepen your understanding of recurrent neural networks and LSTM models used in sentiment analysis. Learn from seminal papers, visualize the challenges in training RNNs, and apply your knowledge by enhancing the IMDB sentiment analysis project with expanded vocabularies and improved hyperparameters. This lesson equips you to refine your models and gain hands-on experience with NLP techniques.
We'll cover the following...
Now that you have built a project and completed the quiz, you are ready to move on to the next step: exploring some supplemental reading materials and completing the provided assignments to gain a better understanding of the topics we discussed.
Supporting reading materials
-
Please check out this movie, called Sunspring (2016). It is a movie written by an algorithm which turns out to be hilarious and intense. Once you watch it, you will have a sense of what AI can do.
-
Learning long-term dependencies with gradient descent is difficult by Yoshua Bengio et al. (1994). This paper shows why gradient-based learning algorithms face an increasingly difficult problem as the duration of dependencies increases.
-
...