Introduction to Machine and Deep Learning

Result code in 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>
Alternative codes found
RIV/61989100:27740/22:10250749
Result on the web
<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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Result language
angličtina
Original language name
Introduction to Machine and Deep Learning
Original language description
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.
Czech name
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Czech description
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Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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