Deep Learning

Accelerate the learning with Distributed training using a multiple parallel servers

IMPORTANT:  Before starting to carry out the 10 Tasks in this exercise, it is recommended to take a look at the overall activity in order to have a clear vision of the work to be submitted at the end of the …

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12. Accelerate the Learning with Parallel Training using a multi-GPU Parallel Server

Hands-on description Have you ever wondered how to train models with millions of parameters that also require large amounts of data? In fact, the size of such models can become so large that they do not even fit in the …

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Practical introduction to programming Deep Learning on a BSC Supercomputer

The 2022 ACM Europe Summer School on “HPC Computer Architectures for AI and Dedicated Applications” will take place 29 August – 2 September. It will be hosted by the Barcelona Supercomputing Center (BSC-CNS) and the Universitat Politècnica de Catalunya (UPC). …

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Practical Introduction to programming Artificial Intelligence

The next generation of Artificial Intelligence applications impose new and demanding computing infrastructures. How are the computer systems that support artificial intelligence? How to program it? New Practical Introduction to Programming Deep Learning on Multi-GPUs with TensorFlow during the [ONLINE] PATC …

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Transfer Learning: La democratització dels Transformers

La llibreria Hugging Face posa els Transformers a l’abast de tothom (versió anglesa d’aquesta publicació a Medium) Ja hem vist que les xarxes neuronals Transformers son actualment la tecnologia dominant en l’àmbit del processat de llenguatge natural, podent-se usar en …

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How to Take Advantage of the New Disruptive AI Technology Called Transformers

Starting in 2017, Transformers have facilitated impressive progress in the field of deep learning. Many of us consider Transformers to be the most important development in recent years and with the greatest potential in the area. For this reason, I …

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