关于此 专项课程

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Natural Language Processing (NLP) uses algorithms to understand and manipulate human language. This technology is one of the most broadly applied areas of machine learning. As AI continues to expand, so will the demand for professionals skilled at building models that analyze speech and language, uncover contextual patterns, and produce insights from text and audio. By the end of this Specialization, you will be ready to design NLP applications that perform question-answering and sentiment analysis, create tools to translate languages and summarize text, and even build chatbots. These and other NLP applications are going to be at the forefront of the coming transformation to an AI-powered future. This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.
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中级
完成时间大约为4 个月
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英语(English)
可分享的证书
完成后获得证书
100% 在线课程
立即开始,按照自己的计划学习。
灵活的计划
设置并保持灵活的截止日期。
中级
完成时间大约为4 个月
建议 6 小时/周
英语(English)

此专项课程包含 4 门课程

课程1

课程 1

Natural Language Processing with Classification and Vector Spaces

4.6
1,641 个评分
357 条评论
课程2

课程 2

Natural Language Processing with Probabilistic Models

4.8
637 个评分
110 条评论
课程3

课程 3

Natural Language Processing with Sequence Models

4.6
365 个评分
71 条评论
课程4

课程 4

Natural Language Processing with Attention Models

4.4
175 个评分
45 条评论

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deeplearning.ai

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