Course talk:CPSC522/Image Classification With Convolutional Neural Networks

I liked reading your page. You may want to add an overview on the next sections in the "Image Classification with CNNs" section. A comparison between the papers and talking more on how one paper is on top of the other would also help.

• The topic is relevant for the course. 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 (maybe because I am familiar to the topic)
• 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. 4 (it could be a bit shorter on the paper review and then added your point of view instead)
• It was an appropriate unit for a page (it shouldn't be split into different topics or merged with another page). 5
• It links to appropriate other pages in the wiki. 2
• The references and links to external pages are well chosen. 2
• I would recommend this page to someone who wanted to find out about the topic. 4
• This page should be highlighted as an exemplary page for others to emulate. 5

I would give it 18 in total.

HI Borna,

Thank you for your feedback. I will add the overview in the next sections.

I have added how the papers incrementally add on top of each other in the "Problem Section" which is solved by Paper 2. Can you please specify, what you think I could add/or am missing as in the comparing the papers?

Regards, Surbhi.

Awesomely written! The balance between prose and point-form was great as was the occasional use of mathematical notation as a quick vehicle for explanation.

Perhaps a quick conclusion outlining the future of the research may be helpful.

Some small grammatical mistakes:

"It compares the performance of several learning techniques on benchmark dataset for it." - I think this sentence should end with "datasets"?

There should be a period after "... stride" in "What is a CNN?"

On a scale of 1 to 5, where 1 means "strongly disagree" and 5 means "strongly agree" please rate and comment on the following:

• The topic is relevant for the course. 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. 3
• There were appropriate (original) examples that helped make the topic clear. 5
• 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). 5
• It links to appropriate other pages in the wiki. 5
• 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. 5
• This page should be highlighted as an exemplary page for others to emulate. 5

If I was grading it out of 20, I would give it: 19

Wow! Thank you, Carl! I will make the suggested changes.

Best Regards, Surbhi.