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DTSTART;TZID=Europe/Stockholm:20220201T090000
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DTSTAMP:20260423T142245
CREATED:20211122T115138Z
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UID:11670-1643706000-1643889600@enccs.se
SUMMARY:Upscaling A.I. with Containers
DESCRIPTION:Overview\nActive practitioners in deep learning primarily develop and train their networks on local computing devices. Nonetheless\, the accuracy of such networks is dependent on their depth and the amount of training data. Moreover\, since local computing devices such as laptops or clusters provide limited computational capacity\, training a deep neural network (NN) requires access to large clusters\, i.e.\, supercomputers. \nIn this workshop\, we will learn the basics of containers\, how to work with Docker and Singularity\, and how to run distributed training using the Horovod framework on a supercomputer. \nThe workshop will be entirely online using zoom. \nOutcomes\n\nYou will be able to create\, deploy\, and update containers locally or on a cluster.\nYou will train\, and upscale traditional Convolutional NN (CNN) in TensorFlow.\nYou will learn to upscale CNN using Horovod.\n\nPrerequisites\nBasic knowledge of UNIX OS and familiarity with NNs are required. \nPreliminary Agenda\nDay 1 – Tuesday 1 February 2022\n[ninja_tables id=”11680″] \nDay 2 – Wednesday 2 February 2022\n[ninja_tables id=”11681″] \nDay 3 – Thursday 3 February 2022\n[ninja_tables id=”11682″] \nRegistration\nTo register for this event\, please follow this link https://events.prace-ri.eu/event/1292/registrations/952/. \nFor questions regarding this event please contact us at training@enccs.se. \n————\nThis training is intended for users established in the European Union or a country associated to Horizon 2020.
URL:https://enccs.se/events/2022-02-upscaling-ai-with-containers/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2021/11/AI-with-containers.jpg
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DTSTART;TZID=Europe/Stockholm:20220222T090000
DTEND;TZID=Europe/Stockholm:20220223T120000
DTSTAMP:20260423T142245
CREATED:20211126T093907Z
LAST-MODIFIED:20220218T150334Z
UID:11711-1645520400-1645617600@enccs.se
SUMMARY:Introduction to Deep-Learning
DESCRIPTION:Overview\nThe use of Deep Learning has seen a sharp increase of popularity and applicability over the last decade. While Deep Learning can be a useful tool for researchers from a wide range of domains\, taking the first steps in the world of Deep Learning can be somewhat intimidating. This introduction aims to cover the basics of Deep Learning in a practical and hands-on manner\, so that upon completion\, you will be able to train your first neural network and understand what next steps to take to improve the model. \nWe start with explaining the basic concepts of neural networks\, and then go through the different steps of a Deep Learning workflow. Learners will learn how to prepare data for deep learning\, how to implement a basic Deep Learning model in Python with Keras\, how to monitor and troubleshoot the training process and how to implement different layer types such as convolutional layers. \nAfter attending the workshop\, you should be able to: \n\nPrepare input data for use for deep learning\nDesign and train a Deep Neural Network\nTroubleshoot the learning process\nMeasure the performance of the network\nVisualise data and results\nRe-use existing network architectures with and without pre-trained weights\n\nPrerequisites\nParticipants are expected to have basic Python programming skills and familiarity with the Pandas package. Basic knowledge of statistics is also beneficial. \nPreliminary Agenda\nTuesday 22 February 2022 \n[ninja_tables id=”13063″] \nWednesday 23 February 2022 \n[ninja_tables id=”13064″] \nRegistration\nPlease register by following this link https://events.prace-ri.eu/event/1295/registrations/955/ \nFor questions regarding this event please contact us at training@enccs.se. \n————\nThis training is intended for users established in the European Union or a country associated to Horizon 2020.
URL:https://enccs.se/events/2022-02-introduction-to-deep-learning/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2021/11/Deep-learning-2-1.jpg
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