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SUMMARY:EuroCC tutorial on transfer learning in computer vision - part 1
DTSTART;VALUE=DATE-TIME:20220916T123000Z
DTEND;VALUE=DATE-TIME:20220916T140000Z
DTSTAMP;VALUE=DATE-TIME:20260909T223914Z
UID:indico-contribution-863@events.ncbj.gov.pl
DESCRIPTION:Speakers: Michał Obara (National Centre for Nuclear Research)
 \nTransfer learning is a machine learning (ML) technique of reusing models
  with pre-trained knowledge obtained for a general ML task\, and applying 
 it to another\, more specific ML task\, with limited training data or comp
 utational resources. This hands-on training will cover the following topic
 s in computer-vision-related problems:\n\n- Introduction to transfer learn
 ing in computer vision\;\n- Image classification with feature extraction -
  using a downloadable model with pre-trained parameters for a custom class
 ification task\;\n- Image classification with fine-tuning - update paramet
 ers of a pre-trained model to get better results\;\n- Demonstration of han
 dling imbalanced data set for transfer learning in image classification\n\
 n**Prerequisites**\n\nFor this hands-on you will need a google account to 
 access Google Colab service. Due to the time constraints only the simplest
  networks will be trained during the tutorial\, larger models will be left
  to experiment with for the participants as a home assignemnt.\n\nhttps://
 events.ncbj.gov.pl/event/141/contributions/863/
LOCATION:
URL:https://events.ncbj.gov.pl/event/141/contributions/863/
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