Talk:Transformer (deep learning architecture)

This article was the subject of a Wiki Education Foundation-supported course assignment, between 5 September 2019 and 10 December 2019. Further details are available on the course page. Student editor(s): Iliao2345 (article contribs).

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Feedback from Logan Paterson on Isaac Liao's article

Logkailp (talk) 14:41, 22 October 2019 (UTC) Praise: - Article does a very good job of laying a groundwork of what Transformers are and giving details on the inner workings of it. - doesn't repeat things too often - links to other articles for applications of transformers instead of unnecessarily writing them out all over again.[reply]

Changes suggested: - I would put a little more background information in the background portion, as I came into the essay knowing nothing about transformers or the way that RNN's or CNN's work, and therefore couldn't grasp the information as well as I could have had I known some background information in the beginning. - Might want to separate the training section from the Architecture section, as they seem to be slightly different topics that could be more distinguished from one another. - Add a little more information in the section on CNN's

Most Important improvement: - More background information like I put above. This may just be a problem with my background knowledge but since the article is meant to be written for "everyone", you may want to add more to give the reader a groundwork of the topic.

Applicable to mine: - I really like your layout of the article and how the article builds from background information to explaining the workings of the topic and how each individual part of a transformer functions to the overall uses and applications of transformers - Smoothly transitioned from topic to topic within each subsection. Logkailp (talk) 14:41, 22 October 2019 (UTC)Logan Paterson[reply]