{"id":9572,"date":"2022-05-11T08:46:02","date_gmt":"2022-05-11T12:46:02","guid":{"rendered":"https:\/\/blogs.mathworks.com\/deep-learning\/?p=9572"},"modified":"2023-03-09T13:52:11","modified_gmt":"2023-03-09T18:52:11","slug":"deep-learning-model-hub","status":"publish","type":"post","link":"https:\/\/blogs.mathworks.com\/deep-learning\/2022\/05\/11\/deep-learning-model-hub\/","title":{"rendered":"Deep Learning Model Hub"},"content":{"rendered":" \r\n

Want to find the latest pretrained models to use in MATLAB?<\/h2>\r\n

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Discover MATLAB Deep Learning Model Hub<\/u><\/a><\/h2>\r\n\r\n\r\nThis is a handy location to see all available deep learning models. You will be able to access models by category, find all supported models MATLAB, and get tips on choosing a model.\r\n
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1. Access models organized by task<\/h2>\r\n

<\/h6>\r\nModels are sorted by Computer Vision, NLP, Audio, and Lidar.\r\n\r\nAnd let's be honest: It's not always easy to recall the latest models with names like FinBERT, GPT-2, which don't exactly roll off the tongue. Instead, if you know you are looking for a Natural Language Processing Model, go to that section to browse the options.\r\n
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Screenshot of Model Hub Page, Image Classification Section<\/p><\/div>\r\n

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2. Reference most up-to-date list of models<\/h2>\r\n

<\/h6>\r\nModel research continues moving at a fast pace, and while some of the tried and true models are still valid for starting deep learning research, you want to know you also have access to the most up-to-date models available. Now that MATLAB is using GitHub in this way, you can be sure you have the most up-to-date list of models.\r\n
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3. See example outputs of each model<\/h2>\r\n

<\/h6>\r\nOn the Model Hub<\/a>, you will see examples of what to expect if you download and use each model. This helps for quick browsing. If you're like me and forget the name of a model easily, you can quickly browse to see the expected output of the model!\r\n
<\/h6>\r\nPop quiz: Do you know what YAMNet <\/strong>does? <\/em>\r\n
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<\/h6>\r\nFrom this screenshot, we can be reasonably confident YAMNet has to do with sound classification, without having to read documentation. \r\n
<\/h6>\r\nIn each section, get a quick refresher on that category of models, the size of the model and a link to download.\r\n\r\n\r\n
<\/h6>\r\nBe sure to bookmark this GitHub page, and comment if you have any suggestions for future improvements! \r\n
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Follow @jo_pings<\/a>