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VERSION:2.0
PRODID:-//Drupal//recurring_events_ical//2.0//EN
BEGIN:VEVENT
UID:9198f8d6-76d0-4e05-8d1a-dc76c5928ea4@support.access-ci.org
DTSTAMP:20250401T184336Z
DTSTART:20250408T170000Z
DTEND:20250408T190000Z
SUMMARY:CI Pathways: Convolutional Neural Networks
DESCRIPTION:Convolutional neural networks (CNNs) are essential for processi
 ng signal data such as audio and images. In this session, we will delve in
 to their core concepts, focusing on using convolution filters for feature 
 extraction and linear layers for classification. Participants will learn h
 ow convolutional layers detect local patterns in images, the role of pooli
 ng in reducing spatial dimensions for more efficient computation, how to s
 tabilize the learning process using batch normalization, and how to train 
 the AlexNet model on the ImageNet dataset.
URL:https://support.access-ci.org/events/7902
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