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DTSTART;TZID=America/Los_Angeles:20260119T190000
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SUMMARY:7 PM – AI/ML – Darin
DESCRIPTION:Today’s Activities:\n\nContinued on the first project: dog and cat classification\nLearnt about the labelling function\, and commenced training with a GPU for classification\n\nHomework:\nRun training again like we did in class\, but this time using 3 different AI backbones (replacing the ‘resnet34’ under the vision_learner function call). \nLook up the different AI backbones from these links (just try around like resnet50\, resnet18\, or even ulearner etc): \nhttps://docs.pytorch.org/vision/stable/models.html#initializing-pre-trained-models\nhttps://docs.fast.ai/vision.learner.html#vision_learner \nThen make your dataset have at least 10 images (I recommend looking for pictures of cats that look like dogs\, and dogs that look like cats)\, and test these images with your newly trained models. \nWrite in the same file Jan12_CatVSDog.ipynb as to which AI backbone you think is better in a text box. Upload this file to google drive when you are done. \nNotes:\nYou can reach me at ddjapri@ayclogic.com. \nAll class notes can be found here.
URL:https://www.ayclogic.com/event/7-pm-ai-ml-darin-2/
CATEGORIES:AI/ML,Python Class
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