Introduction to Machine and Deep Learning
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F22%3A10249844" target="_blank" >RIV/61989100:27740/22:10249844 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/61989100:27740/22:10250749
Výsledek na webu
<a href="https://events.it4i.cz/event/131/" target="_blank" >https://events.it4i.cz/event/131/</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Introduction to Machine and Deep Learning
Popis výsledku v původním jazyce
In this course an overview to end-to-end deep learning with the latest version of Tensorflow/Keras was provided. It covered the basic concepts to define models with Keras and data pipelines with Tensorflow's "Dataset", and to visualize the results with Tensorboard while training. If training on one node or GPU is not enough, how to scale up/out distributed training onto multiple compute nodes and GPUs with Horovod was showed. Furthermore, an introduction to scikit-learn, with an overview of different machine learning algorithms it provides and how to utilize it on GPUs with H2O4GPU was provided. The course consisted of a hands-on exercises that have been run directly on IT4I's infrastructure.
Název v anglickém jazyce
Introduction to Machine and Deep Learning
Popis výsledku anglicky
In this course an overview to end-to-end deep learning with the latest version of Tensorflow/Keras was provided. It covered the basic concepts to define models with Keras and data pipelines with Tensorflow's "Dataset", and to visualize the results with Tensorboard while training. If training on one node or GPU is not enough, how to scale up/out distributed training onto multiple compute nodes and GPUs with Horovod was showed. Furthermore, an introduction to scikit-learn, with an overview of different machine learning algorithms it provides and how to utilize it on GPUs with H2O4GPU was provided. The course consisted of a hands-on exercises that have been run directly on IT4I's infrastructure.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
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Návaznosti
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů