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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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100% 在線課程
立即開始,按照自己的計劃學習。
靈活的計劃
設置並保持靈活的截止日期。
中級
完成時間大約為4 個月
建議 6 小時/週
英語(English)
可分享的證書
完成後獲得證書
100% 在線課程
立即開始,按照自己的計劃學習。
靈活的計劃
設置並保持靈活的截止日期。
中級
完成時間大約為4 個月
建議 6 小時/週
英語(English)

此專項課程包含 4 門課程

課程1

課程 1

Natural Language Processing with Classification and Vector Spaces

4.6
1,671 個評分
359 條評論
課程2

課程 2

Natural Language Processing with Probabilistic Models

4.8
653 個評分
112 條評論
課程3

課程 3

Natural Language Processing with Sequence Models

4.6
371 個評分
71 條評論
課程4

課程 4

Natural Language Processing with Attention Models

4.4
191 個評分
48 條評論

提供方

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deeplearning.ai

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