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UID:282@escience.washington.edu
DTSTART;TZID=America/Los_Angeles:20251015T123000
DTEND;TZID=America/Los_Angeles:20251015T135000
DTSTAMP:20251010T214603Z
URL:https://escience.washington.edu/events/pixel-proficiency-practical-dee
 p-learning-for-images/
SUMMARY:Pixel Proficiency: Practical Deep Learning for Images
DESCRIPTION:eScience Institute is offering this 6 session tutorial series o
 n deep learning for images. The series will demonstrate how to build neura
 l networks capable of addressing common computer vision tasks such as clas
 sifying patterns in images\, detecting objects\, identifying the boundarie
 s of those objects. These tutorials will be focused on providing more than
  just a brief introduction to technical tools\; attendees will also learn 
 methods to rigorously validate the accuracy of their models and assess how
  their results generalize in the presence of new data.\n\nNo prior experie
 nce with neural networks or related software packages is necessary\, thoug
 h attendees are expected to have some basic Python experience and should h
 ave some familiarity with one or more machine learning approaches\, such a
 s logistic regression or random forests. Attendees will use the Keras libr
 ary to do their work\, but learn concepts that are broadly useful regardle
 ss of the technology. The sessions will take place on October 15th to Nove
 mber 19th\, Wednesdays from 12:30-1:50 p.m.\n\nThis event is offered in co
 llaboration with UW-IT Research Computing as part of the "Tillicum Computi
 ng and AI Training Series. Register here.
ATTACH;FMTTYPE=image/jpeg:https://escience.washington.edu/wp-content/uploa
 ds/2025/10/PixelProficiency_deep_learning-pdf.jpg
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