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X-WR-CALNAME:Office of Advanced Research Computing
X-ORIGINAL-URL:https://oarc.rutgers.edu
X-WR-CALDESC:Events for Office of Advanced Research Computing
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DTSTART:20230312T070000
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230113T140000
DTEND;TZID=America/New_York:20230113T160000
DTSTAMP:20260430T201626
CREATED:20220809T203144Z
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UID:7466-1673618400-1673625600@oarc.rutgers.edu
SUMMARY:Deep Learning with Python and Keras - Part 1
DESCRIPTION:Register to attend this workshop at the bottom of this page. Zoom link will be emailed after filling out the registration form. \nDeep learning (DL) outperforms Machine Learning (ML) in many applications such as  Computer Vision (CV) and Natural Language Processing (NLP).  In this workshop\, we will go through the basics of artificial neural networks (ANN)\, Convolutional Neural Networks (CNN)\, and Recurrent Neural Networks (RNN)\, and focus on doing hands-on training to apply these DL models on image and text data for building predictive analytics.  \n\nObjective of the workshop\nUnderstand the basics of Artificial Neural Networks (ANN)\nPrepare image and text data suitable for the neural networks\nLearn how to apply various DL models such as ANN\, CNN\, and RNN\nImprove the accuracy of the model with hyperparameter optimization\n\nIf you have questions or need help\, please email Bala Desinghu. \nAmarel account: Apply here as soon as possible. You must have an Amarel account set up before the workshop. \nVPN setup: You have to be connected on Rutgers’ network or be on VPN to access Amarel resources. \nSSH setup: Windows users must install an SSH client like PuTTY or MobaXterm. Alternatively\, Windows 10 users can install the complete Windows Subsystem for Linux. \nRegister to attend the workshop:\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/deep-learning-with-python-and-keras-1-13-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230120T140000
DTEND;TZID=America/New_York:20230120T160000
DTSTAMP:20260430T201626
CREATED:20220809T203619Z
LAST-MODIFIED:20220810T152105Z
UID:7472-1674223200-1674230400@oarc.rutgers.edu
SUMMARY:Deep Learning with Python and Keras - Part 2
DESCRIPTION:Register to attend this workshop at the bottom of this page. Zoom link will be emailed after filling out the registration form. \nDeep learning (DL) outperforms Machine Learning (ML) in many applications such as Computer Vision (CV) and Natural Language Processing (NLP). In this workshop\, we will go through the basics of artificial neural networks (ANN)\, Convolutional Neural Networks (CNN)\, and Recurrent Neural Networks (RNN)\, and focus on doing hands-on training to apply these DL models on image and text data for building predictive analytics. \nObjectives of the workshop \n\nUnderstand the basics of Artificial Neural Networks (ANN)\nPrepare image and text data suitable for the neural networks\nLearn how to apply various DL models such as ANN\, CNN\, and RNN\nImprove the accuracy of the model with hyperparameter optimization\n\nIf you have questions or need help\, please email Bala Desinghu. \nAmarel account: Apply here as soon as possible. You must have an Amarel account set up before the workshop. \nVPN setup: You have to be connected on Rutgers’ network or be on VPN to access Amarel resources. \nSSH setup: Windows users must install an SSH client like PuTTY or MobaXterm. Alternatively\, Windows 10 users can install the complete Windows Subsystem for Linux. \nRegister to attend the workshop:\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/deep-learning-with-python-and-keras-1-20-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230124T080000
DTEND;TZID=America/New_York:20230125T190000
DTSTAMP:20260430T201626
CREATED:20230217T165620Z
LAST-MODIFIED:20230217T175306Z
UID:8407-1674547200-1674673200@oarc.rutgers.edu
SUMMARY:Amarel monthly maintenance
DESCRIPTION:Usually scheduled for every 3rd Tuesday and Wednesday of the month from 08:00 ET on the first day till 19:00 ET on the second day. \n2023 anticipated maintenance schedule (all dates subject to change):\nJAN 24-25 (1 week late)\nFEB 21-22\nMAR 14 -15 (1 week earlier\, spring break)\nAPR 18-19\nMAY 16-17\nJUN 20-21\nJUL 18-19\nAUG 15-16\nSEP 19-20\nOCT 17-18\nNOV 21-22\nDEC 19-20 \nMaintenance is usually scheduled for weekdays because it often involves coordination with University facilities teams or external vendors. There may also be times when Amarel must be unavailable due to externally-scheduled data center facilities\, power\, or telecommunications maintenance. When this happens\, we will do our best to avoid adding to a month’s downtime with our own maintenance work (e.g.\, by working in parallel or postponing some tasks). \n			\n				Visit Amarel system status for more information
URL:https://oarc.rutgers.edu/event/amarel-monthly-maintenance/
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