开始时间: 12/21/2023 持续时间: Approximately 4 months to complete Suggested pace of 8 hours/week
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所在平台: Coursera专项课程 课程类别: 计算机科学 大学或机构: CourseraNew |
课程主页: https://www.coursera.org/specializations/natural-language-processing
课程评论：没有评论
Sentiment AnalysisSiamese NetworksHidden Markov ModelTransformersAttention ModelsMachine TranslationWord EmbeddingsLocality-Sensitive HashingVector Space ModelsWord2vecParts-of-Speech TaggingN-gram Language Models
Course Link: https://www.coursera.org/learn/classification-vector-spaces-in-nlp
Name:Natural Language Processing with Classification and Vector Spaces
Description:Offered by DeepLearning.AI. In Course 1 of the Natural Language Processing Specialization, you will: a) Perform sentiment analysis of ... Enroll for free.
Course Link: https://www.coursera.org/learn/probabilistic-models-in-nlp
Name:Natural Language Processing with Probabilistic Models
Description:Offered by DeepLearning.AI. In Course 2 of the Natural Language Processing Specialization, you will: a) Create a simple auto-correct ... Enroll for free.
Course Link: https://www.coursera.org/learn/sequence-models-in-nlp
Name:Natural Language Processing with Sequence Models
Description:Offered by DeepLearning.AI. In Course 3 of the Natural Language Processing Specialization, you will: a) Train a neural network with GLoVe ... Enroll for free.
Course Link: https://www.coursera.org/learn/attention-models-in-nlp
Name:Natural Language Processing with Attention Models
Description:Offered by DeepLearning.AI. In Course 4 of the Natural Language Processing Specialization, you will: a) Translate complete English ... Enroll for free.
Andrew Ng老师的deeplearning.ai出品的自然语言处理专项课程（Natural Language Processing Specialization），涵盖4门子课程，包括词向量和文本分类、概率模型、序列模型和注意力模型等内容，结合Tensorflow，属于深度学习NLP的入门级课程，感兴趣的同学可以关注： Break into the NLP space. Master cutting-edge NLP techniques through four hands-on courses!
