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Benchmarking Python Deep Learning Frameworks for Language Modeling on GPUs

Year: 2024
Type: conference-paper
Abstract: Neuralnetworksareomnipresentinnaturallanguageprocessing(NLP). We benchmark three popular Python frameworks (DyNet, TensorFlow, and Theano) on the standard NLP task of language modeling, and find that DyNet is significantly faster on this task. We also discuss other bottlenecks beyond performance, such as ease of use, that may impact the selection of a neural network framework.
Language: English
Open Access status: bronze
OpenAlex ID: W4403508018
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