BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//cfp.scipy.org//2023//speaker//GVDHSU
BEGIN:VTIMEZONE
TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20220710T000000
TZNAME:CDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0500
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20221106T020000
RDATE:20231105T020000
TZNAME:CST
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20230312T030000
RDATE:20240310T030000
TZNAME:CDT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
SUMMARY:Modern Deep Learning with PyTorch - Sebastian Raschka
DTSTART;TZID=America/Chicago:20230710T133000
DTEND;TZID=America/Chicago:20230710T173000
DTSTAMP:20261017T034910Z
UID:pretalx-2023-8BZN3E@cfp.scipy.org
DESCRIPTION:We will kick off this tutorial with an introduction to deep le
 arning and highlight its primary strengths and use cases compared to tradi
 tional machine learning. In recent years\, PyTorch has emerged as the most
  widely used deep learning library for research. However\, a lot has chang
 ed regarding how we train neural networks these days. After getting a firm
  grasp of the PyTorch API\, you will learn how to train deep neural networ
 ks using various multi-GPU training paradigms. We will also fine-tune larg
 e language models (transformers) and deploy them to the cloud.
LOCATION:Classroom 106
URL:https://cfp.scipy.org/2023/talk/8BZN3E/
END:VEVENT
END:VCALENDAR
