critiques
Excellent work! Here are my scores, with comments below. Let me know if you want to discuss any of the points.
Scale of 1 to 5, where 1 = strongly disagree and 5 = strongly agree:
- (5) The topic is relevant for the course.
- (4.5) The writing is clear and the English is good.
- (5) The page is written at an appropriate level for CPSC 522 students (where the students have diverse backgrounds).
- (5) The formalism (definitions, mathematics) was well chosen to make the page easier to understand.
- (5) The abstract is a concise and clear summary.
- (5) There were appropriate (original) examples that helped make the topic clear.
- (3) There was appropriate use of (pseudo-) code.
- (5) It had a good coverage of representations, semantics, inference and learning (as appropriate for the topic).
- (5) It is correct.
- (5) It was neither too short nor too long for the topic.
- (5) It was an appropriate unit for a page (it shouldn't be split into different topics or merged with another page).
- (1) It links to appropriate other pages in the wiki.
- (1) The references and links to external pages are well chosen.
- (5) I would recommend this page to someone who wanted to find out about the topic.
- (4.5) This page should be highlighted as an exemplary page for others to emulate.
Comments:
- There are a few typos/grammar issues, but nothing that a quick proofread wouldn't fix.
- It can be useful to highlight important terms in the text using bold or italic effects.
- Some of the variables, such as neuron Y, are written using math tags in some places and in plain text in others.
- I believe we were supposed to use math tags instead of images for the formulas.
- I'd love to see some links in the text, both internal (to other parts of your page or to other 522 wiki pages) and external (to Wikipedia or other online sources).
- The page is fairly light on math/code, but you explain the functionality very well.
Abstract:
- Emphases are placed, not focused.
- The "Builds on" and "More general than" sections still consist only of the instructions; be sure to put some links in there.
Introduction:
- Contextual and historical motivation. Very nice.
What is an artificial neural network?:
- Nicely done!
- The sigmoid function doesn't need to be specified there, and the fact that it uses x instead of y can be a bit confusing. I'd suggest removing the formula and instead putting an internal link to your Common Activation Functions section, since you cover it there.
How are neural networks used?:
- Nicely done here as well!
- The Competitive Layer section appears to have no content.
- I'm not sure why I need to know what the derivative of the hyperbolic tangent is.
Where are neural nets being used?:
- Links would be especially awesome here.