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DTSTART;TZID=Europe/Stockholm:20210209T090000
DTEND;TZID=Europe/Stockholm:20210210T123000
DTSTAMP:20260422T202810
CREATED:20201202T094133Z
LAST-MODIFIED:20210111T131430Z
UID:7763-1612861200-1612960200@enccs.se
SUMMARY:ENCCS Workshop - CMake
DESCRIPTION:CMake is a language-agnostic\, cross-platform build tool and is nowadays the de facto standard\, with large projects using it to reliably build\, test\, and deploy their codebases. You will learn how to: \n●  Write a CMake build system for C\, C++\, and Fortran projects producing libraries and/or executables. \n●  Run tests for your code with CTest. \n●  Ensure your build system will work on different platforms. \n●  Detect and use external dependencies in your project. \n●  Safely and effectively build mixed-language projects (Python+C/C++\, Python+Fortran\, Fortran+C/C++) \nLectures will be held by Roberto Di Remigio. \nHelpers during the exercise sessions will be Kjartan Thor Wikfeldt\, Mark Abraham\, Qiang Li\, Jing Gong and Radovan Bast. \nTentative Schedule\nDay 1 – Tuesday 9 February 2021 \n[ninja_tables id=”7765″] \nDay 2 – Tuesday 10 February 2021 \n[ninja_tables id=”7766″] \nRegistration\nThis workshop is full and registration is closed. \nContact person\nKjartan Thor Wikfeldt (kjartan.thor.wikfeldt@it.uu.se)
URL:https://enccs.se/events/enccs-workshop-cmake/
LOCATION:Online
CATEGORIES:ENCCS Event,Workshop
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2020/12/CMake-icon-3d-396.jpg
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DTSTART;TZID=Europe/Stockholm:20210216T090000
DTEND;TZID=Europe/Stockholm:20210217T160000
DTSTAMP:20260422T202810
CREATED:20201022T154812Z
LAST-MODIFIED:20210213T132850Z
UID:6895-1613466000-1613577600@enccs.se
SUMMARY:ENCCS/CSC Practical Deep Learning workshop
DESCRIPTION:In collaboration with CSC in Finland\, ENCCS is offering a workshop on February 16-17 on Deep Learning. The course is at an introductory level.  \nCourse description\nThis course gives a practical introduction to deep learning\, convolutional and recurrent neural networks\, GPU computing\, and tools to train and apply deep neural networks for natural language processing\, images\, and other applications. The course consists of lectures and hands-on exercises. Keras and PyTorch will be used in the exercise sessions. \n \nLearning outcome\nAfter the course the participants should have the skills and knowledge needed to begin applying deep learning for different tasks and utilizing the GPU resources available at PDC and elsewhere for training and deploying their own neural networks. \nPrerequisites\nThe participants are assumed to have working knowledge of Python and a suitable background in data analysis\, machine learning\, or a related field. Previous experience in deep learning is not required\, but the fundamentals of machine learning are not covered in this course. Basic knowledge of a Linux/Unix environment will be assumed. \nSchedule\nDay 1\n[ninja_tables id=”8255″] \nDay 2\n[ninja_tables id=”8256″] \nRegistration for this event is closed 
URL:https://enccs.se/events/enccs-csc-practical-deep-learning-workshop/
LOCATION:Online
CATEGORIES:ENCCS Event
ATTACH;FMTTYPE=image/jpeg:https://media.enccs.se/2020/10/Deep-learning-pic-348-e1603438676121.jpg
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