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10 Notable Frameworks for NLP

10 Notable Frameworks for NLP

ModelingNLP/Text AnalyticsbertchainerernieframeworksKerasNLPPyTorchScikit-LearnspaCyTensorFlowposted by Elizabeth Wallace, ODSC February 28, 2020

Natural Language Processing hit its big stride back in 2017 with the introduction of Transformer Architecture from Google. State of the art approaches helped bridge the gap between humans and machines and helped us build bots capable of using human language undetected. It’s an exciting time.... Read more
Major Updates to the Most Popular Data Science Frameworks in 2019

Major Updates to the Most Popular Data Science Frameworks in 2019

Featured PostModelingTools & Languages2020chainerFast.aiKerasmxnetPyTorchScikit-LearnSparkspark mllibTensorFlowposted by Daniel Gutierrez, ODSC January 28, 2020

This time last year we brought you a detailed report of all the important updates for popular data science (machine learning and deep learning) frameworks throughout 2018. The developers of these frameworks continue to innovate at an accelerated rate. Data scientists demand more powerful tools in... Read more
Deep Learning Frameworks You Need to Know in 2020

Deep Learning Frameworks You Need to Know in 2020

Deep LearningModeling2020AzurechainerKerasmicrosoft cognitive toolkitmxnetPyTorchSparkTensorFlowposted by Elizabeth Wallace, ODSC December 30, 2019

Deep learning networks have a mind-boggling ability to learn, so training these models requires massive computing power and intense amounts of data. You’ll need a framework to make that development easier. Deep learning requires massive processing power and lots of data. Because it uses unstructured, often non-text... Read more
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