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DTSTART;TZID=UTC:20231124T090000
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SUMMARY:Introduction to Deep Learning
DESCRIPTION:In the course\, you’ll learn how deep neural networks work and how they are optimized. During our hands-on sessions you will have the opportunity to work on our high-performance systems and train neural networks to solve an image classification problem. We’ll cover various neural network architectures: from a basic fully connected network\, to a convolutional neural network and variational auto-encoders (time permitting). \nSign up \nWhat will you learn?\nIn this course you will learn to \n\nUnderstand how a neuron and neural network works\nUnderstand how a neural network is trained\nExplore the effect of hyperparameters on neural network performance\nWork with a high-level machine learning API (Keras)\n\nFor whom?\nEveryone interested in deep learning\, but with no (or little) current experience & knowledge. \nPrerequisites\n\nPython\nBasics of linear algebra\nBasic statistics\n\nTopics\n\nNeural network: basics\n\nHow does a neuron work?\nFully connected networks\nTraining/optimizing a neural network\n\n\nConvolutional neural networks (CNNs)\n(Variational) Auto-Encoders
URL:https://eurocc-netherlands.nl/calendar/introduction-to-deep-learning/
LOCATION:SURF Amsterdam\, Science Park 140\, Amsterdam\, 1098 XG\, Netherlands
CATEGORIES:Training
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