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SUMMARY:[:en]Deep Learning with Images in MATLAB[:]
DESCRIPTION:Flipped Classroom: Online Training & Live Session \nOnline Training: Self-paced\, approximately 2 hours \nLive Session: Tuesday June 6th\, 2 PM – 3:30 PM (90 minutes) \nInstructor: Dr. Franziska Albers\, The MathWorks Academia Team \n  \nIn this training you will learn how to apply deep learning in MATLAB using image classification as an example. \nWe will use a flipped classroom style: you will work through the online course “Deep Learning Onramp” on your own and afterwards we will meet for a live session. \nThe online course covers: \n\nBasic idea of deep learning\nBasics of convolutional neural networks\nHow to make predictions with pretrained networks\nHow to manage collections of image data\nHow to perform transfer learning to fine-tune a pretrained network with your own data\n\nIn our live session we will: \n\nDiscuss your questions\nDiscuss how to build a convolutional neural network from scratch\nUse a convolutional neural network for regression\nDiscuss how you can learn more – so you can tackle your own deep learning projects in MATLAB\n\nPrerequisites \nYou will need a MathWorks account and some basic MATLAB skills to join this training. You are expected to complete the Deep Learning Onramp before joining the live session. The onramp takes approximately two hours to complete. \nWho is this for? \nThe training is for students and researchers who want to get started with deep learning in MATLAB. This training will enable you to solve simple classification and regression problems in MATLAB. \nRegistration \nPlease register until June 4th. \n  \nContact \nDr. Franziska Albers <falbers@mathworks.com>
URL:https://blog.rwth-aachen.de/itc-events/en/event/deep-learning-with-images-in-matlab/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Events
ORGANIZER;CN="HPC":MAILTO:hpcevent@itc.rwth-aachen.de
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