自然语言处理 專項課程
Break into the NLP space. Master cutting-edge NLP techniques through four hands-on courses!
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您將學到的內容有
Use logistic regression, naïve Bayes, and word vectors to implement sentiment analysis, complete analogies & translate words
Use dynamic programming, hidden Markov models, and word embeddings to implement autocorrect, autocomplete & identify part-of-speech tags for words
Use recurrent neural networks, LSTMs, GRUs & Siamese network in TensorFlow & Trax for sentiment analysis, text generation & named entity recognition
Use encoder-decoder, causal, & self-attention to machine translate complete sentences, summarize text, build chatbots & question-answering
您將獲得的技能
關於此 專項課程
應用的學習項目
This Specialization will equip you with the state-of-the-art deep learning techniques needed to build cutting-edge NLP systems:
• Use logistic regression, naïve Bayes, and word vectors to implement sentiment analysis, complete analogies, and translate words, and use locality sensitive hashing for approximate nearest neighbors.
• Use dynamic programming, hidden Markov models, and word embeddings to autocorrect misspelled words, autocomplete partial sentences, and identify part-of-speech tags for words.
• Use dense and recurrent neural networks, LSTMs, GRUs, and Siamese networks in TensorFlow and Trax to perform advanced sentiment analysis, text generation, named entity recognition, and to identify duplicate questions.
• Use encoder-decoder, causal, and self-attention to perform advanced machine translation of complete sentences, text summarization, question-answering and to build chatbots. Models covered include T5, BERT, transformer, reformer, and more!
Working knowledge of machine learning, intermediate Python experience including DL frameworks & proficiency in calculus, linear algebra, & statistics
Working knowledge of machine learning, intermediate Python experience including DL frameworks & proficiency in calculus, linear algebra, & statistics
專項課程的運作方式
加入課程
Coursera 專項課程是幫助您掌握一門技能的一系列課程。若要開始學習,請直接註冊專項課程,或預覽專項課程並選擇您要首先開始學習的課程。當您訂閱專項課程的部分課程時,您將自動訂閱整個專項課程。您可以只完成一門課程,您可以隨時暫停學習或結束訂閱。訪問您的學生面板,跟踪您的課程註冊情況和進度。
實踐項目
每個專項課程都包括實踐項目。您需要成功完成這個(些)項目才能完成專項課程並獲得證書。如果專項課程中包括單獨的實踐項目課程,則需要在開始之前完成其他所有課程。
獲得證書
在結束每門課程並完成實踐項目之後,您會獲得一個證書,您可以向您的潛在雇主展示該證書並在您的職業社交網絡中分享。

此專項課程包含 4 門課程
Natural Language Processing with Classification and Vector Spaces
In Course 1 of the Natural Language Processing Specialization, offered by deeplearning.ai, you will:
Natural Language Processing with Probabilistic Models
In Course 2 of the Natural Language Processing Specialization, offered by deeplearning.ai, you will:
Natural Language Processing with Sequence Models
In Course 3 of the Natural Language Processing Specialization, offered by deeplearning.ai, you will:
Natural Language Processing with Attention Models
In Course 4 of the Natural Language Processing Specialization, offered by DeepLearning.AI, you will:
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deeplearning.ai
DeepLearning.AI is an education technology company that develops a global community of AI talent.
常見問題
What is the refund policy?
我可以只注册一门课程吗?
Is financial aid available?
我可以免费学习课程吗?
此课程是 100% 在线学习吗?是否需要现场参加课程?
完成专项课程后我会获得大学学分吗?
完成专项课程后我会获得大学学分吗?
What background knowledge is necessary?
Is this a standalone Course or a Specialization?
What makes this Specialization so different?
Do I need to take the courses in a specific order?
How long does it take to complete the Specialization?
完成专项课程需要多长时间?
還有其他問題嗎?請訪問 學生幫助中心。