{"id":143,"date":"2024-02-25T04:28:37","date_gmt":"2024-02-25T04:28:37","guid":{"rendered":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s24-teamd7\/?p=143"},"modified":"2024-02-25T04:28:37","modified_gmt":"2024-02-25T04:28:37","slug":"rickys-status-report-for-2-24-2024","status":"publish","type":"post","link":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s24-teamd7\/2024\/02\/25\/rickys-status-report-for-2-24-2024\/","title":{"rendered":"Ricky&#8217;s Status Report for 2\/24\/2024"},"content":{"rendered":"<p><span style=\"font-weight: 400\">This week, I primarily focused on implementing the script that will train an NN architecture and save the model for future inference use. This implementation has a variety of features including variable choices of input data, cross-validation raining to identify the optimal stepsize, and usage of the wandb package to track training performance through the epochs. I have also implemented the SVM model trainer. This was pretty straightforward with a heavy dependence on the sklearn package. I also tuned up the data collection for an automated collection of 26 letters in one shot. I performed some research into pre-training data analysis based on my \u201cEstimation, Detection, and Learning\u201d class. Based on the research, I added some potential action items to prepare a clean dataset.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">I am on schedule as of right now.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Next week, I hope to put significant work into the design document. In addition, I hope to flesh out a robust testing module, finalize dataset analysis, and begin collecting data with the glove (dependent on the glove&#8217;s progress).<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This week, I primarily focused on implementing the script that will train an NN architecture and save the model for future inference use. This implementation has a variety of features including variable choices of input data, cross-validation raining to identify the optimal stepsize, and usage of the wandb package to track training performance through the &hellip; <\/p>\n<p class=\"link-more\"><a href=\"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s24-teamd7\/2024\/02\/25\/rickys-status-report-for-2-24-2024\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Ricky&#8217;s Status Report for 2\/24\/2024&#8221;<\/span><\/a><\/p>\n","protected":false},"author":831,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[6],"tags":[],"_links":{"self":[{"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s24-teamd7\/wp-json\/wp\/v2\/posts\/143"}],"collection":[{"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s24-teamd7\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s24-teamd7\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s24-teamd7\/wp-json\/wp\/v2\/users\/831"}],"replies":[{"embeddable":true,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s24-teamd7\/wp-json\/wp\/v2\/comments?post=143"}],"version-history":[{"count":1,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s24-teamd7\/wp-json\/wp\/v2\/posts\/143\/revisions"}],"predecessor-version":[{"id":144,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s24-teamd7\/wp-json\/wp\/v2\/posts\/143\/revisions\/144"}],"wp:attachment":[{"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s24-teamd7\/wp-json\/wp\/v2\/media?parent=143"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s24-teamd7\/wp-json\/wp\/v2\/categories?post=143"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s24-teamd7\/wp-json\/wp\/v2\/tags?post=143"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}