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DTSTART;TZID=UTC:20231005T093000
DTEND;TZID=UTC:20231006T170000
DTSTAMP:20260403T235424
CREATED:20230830T151741Z
LAST-MODIFIED:20230913T104450Z
UID:545-1696498200-1696611600@eurocc-netherlands.nl
SUMMARY:Course High Performance Deep Learning
DESCRIPTION:Would you like to learn the basics about Deep Learning? Whether you’re a curious beginner or a more advanced data enthusiast: join us for a two-day course that delves into neural network and extracting relevant information from datasets! \nWhen? 05 — 06 Oct 2023\nTime: 9:30 to 17:00\nLocation: Online \n\n\n\nSign up \n\n\n\nEvent type: Course\nPrerequisite knowledge: Prior knowledge required\n\n\n\n\n\n\n\n\n\n\n\nWhat?\nOur two-day course on high-performance machine learning provides the necessary skills to train neural networks and extract the most relevant information from datasets. During our hands-on sessions you will have the opportunity to work on our high-performance systems with different types of data\, and learn how to tune your model to obtain optimal results in the most efficient way. Curious about what you’re going to learn? \nDay 1: \nUncover the essence of machine learning theories and algorithmic insights through hands-on exploration. For example\, work with a high-level machine learning API (Keras) or explore hyperparameter space to improve a neural network. Additionally\, dive into fully connected networks\, convolutional networks and autoencoders (time permitting). \nProgram day 1: \n\nIntroduction to Deep Learning\nUsing the PyTorch framework\nFully connected networks\, Convolutional networks\, Autoencoders (time permitting)\n\nDay 2: \nLearn how to set up your (preinstalled) software environment and overcome file limitations that can slow down your training speed. Grasp the technical capabilities of modern day CPUs and GPUs and how to use multiple CPUs or GPUs in a single training. Finally\, discover how to find bottlenecks in your code through creating a (PyTorch) profile. \nProgram day 2: \n\nSoftware installations on HPC systems\nPacked file formats for Machine Learning\nParallel computing for deep learning\nHardware (e.g. Tensor cores) and software features (e.g. low level libraries for deep learning) to accelerated deep learning\nProfiling TensorFlow with TensorBoard\n\nFor whom?\nEveryone interested in getting familiar with machine learning at scale\, from the basics up to more advanced topics. \nPrerequisites\nYou can apply for this course if you have: \n\nBasic knowledge on statistics;\nBasic knowledge on linear algebra;\nBasic knowledge on Python programming;\nsome experience with the use of Jupyter Notebooks is desirable\, but not essential;\nBasic knowledge on parallel computing is helpful\, but not required.
URL:https://eurocc-netherlands.nl/calendar/course-high-performance-deep-learning/
LOCATION:Online
CATEGORIES:Training
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