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DTSTART:20260308T100000
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DTSTART;TZID=America/Los_Angeles:20260119T110000
DTEND;TZID=America/Los_Angeles:20260119T120000
DTSTAMP:20260515T023625
CREATED:20260131T004240Z
LAST-MODIFIED:20260131T004240Z
UID:32326-1768820400-1768824000@www.ayclogic.com
SUMMARY:11 AM – Scratch 2 – Abigail
DESCRIPTION:Today We\n\n\n\n\nWe continued to work on the Spaceship project.\n\nHomework\n\nWhen you collect the fireball powerups\, it should increase the fireball variable by 1.\nWhen you collect the bomb powerups\, it should increase the bomb variable by 1.\n\nIf you have any questions\, email me at abigail@ayclogic.com
URL:https://www.ayclogic.com/event/11-am-scratch-2-abigail-8/
CATEGORIES:Scratch Class,Scratch Class Level 2
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260119T190000
DTEND;TZID=America/Los_Angeles:20260119T200000
DTSTAMP:20260515T023625
CREATED:20260120T035827Z
LAST-MODIFIED:20260120T035827Z
UID:32214-1768849200-1768852800@www.ayclogic.com
SUMMARY:7 PM - Intro To Python - Gamas
DESCRIPTION:Today We Learned\n\nWe learned about variables and data types.\n\nHomework\n\nCreate a new python file jan_19_string_hw.py\nCopy codes from text book from page 20 to 23.
URL:https://www.ayclogic.com/event/7-pm-intro-to-python-gamas-25/
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260119T190000
DTEND;TZID=America/Los_Angeles:20260119T200000
DTSTAMP:20260515T023625
CREATED:20260120T040741Z
LAST-MODIFIED:20260120T040741Z
UID:32213-1768849200-1768852800@www.ayclogic.com
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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