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- Overdue by 7 year(s)•Due by February 14, 2019•3/3 issues closed
- Overdue by 7 year(s)•Due by February 18, 2019
Deadline: March 19th, Tuesday 11:59pm The final report should contain a comprehensive account of your project. We expect the report to be thorough, yet concise. Broadly, we will be looking for the following: Good motivation for the project and an explanation of the problem statement A description of the data Any hyperparameter and architecture choices that were explored Presentation of results Analysis of results Any insights and discussions relevant to the project References After the class, we will post all the final writeups online so that you can read about each other’s work. If you do not want your write-up to be posted online, then please create a private Piazza post.
Overdue by 7 year(s)•Due by March 19, 2019Date: March 20th, Wednesday 12:15pm-3:15pm Location: TBD Your poster is required to be a 24” by 36” summary of your work. Include diagrams figures and charts to illustrate the highlights of your work. The poster needs to be visually appealing, but also illustrate technical details of your project. In addition, each team should prepare a 3 minute ‘elevator pitch’ which should detail the problem statement, approach and results of the project.
Overdue by 7 year(s)•Due by March 20, 2019Deadline: February 19th, Tuesday 11:59pm The milestone will help you make sure you’re on track, and should describe what you’ve accomplished so far, and very briefly say what else you plan to do. You should write it as if it’s an “early draft” of what will turn into your final project. You can write it as if you’re writing the first few pages of your final project report, so that you can re-use most of the milestone text in your final report. Please write the milestone (and final report) keeping in mind that the intended audience is Profs. Ng and Katanforoosh and the TAs. Thus, for example, you should not spend two pages explaining what logistic regression is. Your milestone should include the full names of all your team members and state the full title of your project. Note: We will expect your final writeup to be on the same topic as your milestone. In order to help you the most, we expect you to submit your running code. Your code should contain a baseline model for your application. Along with your baseline model, you are welcome to submit additional parts of your code such as data pre-processing, data augmentation, accuracy matric(s), and/or other models you have tried. Please clean your code before submitting, comment on it, and cite any resources you used. Please do not submit your dataset. However, you may include a few samples of your data in the report if you wish.
Overdue by 7 year(s)•Due by February 19, 2019# Deadline: January 22nd, Tuesday 11:59 PM <br/> In the project proposal, you’ll pick a project idea to work on early and receive feedback from the TAs. If your proposed project will be done jointly with a different class’ project, you should obtain approval from the other instructor and approval from us. Please come to the project office hours to discuss with us if you would like to do a joint project. You should submit your proposals on Gradescope. All students should already be added to the course page on Gradescope via your SUNet IDs. If you are not, please create an account with your Stanford email and enroll in CS230. <br/> In the proposal, below your project title, include the project category. The category can be one of: - Computer Vision - Natural Language Processing - Generative Modeling - Speech Recognition - Reinforcement Learning - Healthcare - Others (Please specify!) Your project proposal should include the following information: <br/> - What is the problem that you will be investigating? Why is it interesting? - What are the challenges of this project? - What dataset are you using? How do you plan to collect it? - What method or algorithm are you proposing? If there are existing implementations, will you use them and how? How do you plan to improve or modify such implementations? - What reading will you examine to provide context and background? If relevant, what papers do you refer to? - How will you evaluate your results? Qualitatively, what kind of results do you expect (e.g. plots or figures)? Quantitatively, what kind of analysis will you use to evaluate and/or compare your results (e.g. what performance metrics or statistical tests)? - Presenting pointers to one relevant dataset and one example of prior research on the topic are a valuable (optional) addition. ---|--- Project mentors | Based off of the topic you choose in your proposal, we’ll suggest a project mentor given the areas of expertise of the TAs. This is just a recommendation; feel free to speak with other TAs as well. Format | Your proposal should be a PDF document, giving the title of the project, the project category, the full names of all of your team members, the SUNet ID of your team members, and a 300-500 word description of what you plan to do. Grading | The project proposal is mainly intended to make sure you decide on a project topic and get feedback from TAs early. As long as your proposal follows the instructions above and the project seems to have been thought out with a reasonable plan, you should do well on the proposal. Submission | Submit on Gradescope (see description under deadline for instructions)
Overdue by 7 year(s)•Due by January 22, 2019