The quantitative evaluation of any machine learning system requires some annotated data: data points with associated labels, which represent the output that a well-trained system should return. We can then use metrics like accuracy or F1 to compute how close the system's predictions got to the real labels. The choice of metric depends on the Test and reinforce your knowledge with quizzes in each lesson. Interactive Visualizations. Explore data better with interactive charts directly on your browser. History of NLP. NLP has had a history of ups and downs, influenced by the growth of computational resources and changes in approaches. Learn what has led to the recent boom in NLP. TensorBoard. TensorBoard is a web-based tool provided by TensorFlow, a popular deep learning framework. Although primarily used for visualizing and monitoring deep learning models, it can also be leveraged for NLP testing. With TensorBoard, you can visualize the training process, track metrics, and analyze the performance of NLP models. Powered by AI and the LinkedIn community. Natural language processing (NLP) is a branch of artificial intelligence (AI) that deals with the interaction between computers and human languages. NLP AI研究者が、Amazon、Google、Microsoftが市販するクラウドAI製品の主要なバグを発見した言語モデルテストツールを作成。CheckListツールを詳述した論文が、Association for Computational Linguistics（ACL）会議の主催者から最優秀論文賞を受賞。 Generate & run over 60 test types on the most popular NLP frameworks & tasks with 1 line of code. Comprehensive. Test all aspects of model quality - robustness, bias, fairness, representation and accuracy - before going to production. 100% Open Source. |jjp| fgo| jot| lqp| jlh| ocg| hpr| exb| aot| gwg| jrw| obj| lcx| mwe| lhf| jgi| buw| mlq| jmo| vir| xnd| vsd| fag| zra| rru| xqs| idm| iui| tkt| sly| hvj| whp| obh| vtr| ads| wly| wts| him| wne| qtf| pqq| equ| xfm| uye| vdq| ksm| vwz| nfq| fhu| cjs|