- Word2vec
- Machine Translation
- Sentiment Analysis
- Transformers
- Attention Models
- Word Embeddings
- Locality-Sensitive Hashing
- Vector Space Models
- Parts-of-Speech Tagging
- N-gram Language Models
- Autocorrect
- Word Embedding
自然语言处理 專項課程
Break into NLP. Master cutting-edge NLP techniques through four hands-on courses! Updated with the latest techniques in October '21.
提供方


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 networks in 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 machine learning basics and 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, translate words, and use locality-sensitive hashing to 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. Learn T5, BERT, transformer, reformer, and more with 🤗 Transformers!
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, you will:
Natural Language Processing with Probabilistic Models
In Course 2 of the Natural Language Processing Specialization, you will:
Natural Language Processing with Sequence Models
In Course 3 of the Natural Language Processing Specialization, you will:
Natural Language Processing with Attention Models
In Course 4 of the Natural Language Processing Specialization, you will:
提供方

deeplearning.ai
DeepLearning.AI is an education technology company that develops a global community of AI talent.
常見問題
退款政策是如何规定的?
我可以只注册一门课程吗?
有助学金吗?
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?
What is Natural Language Processing (NLP)?
What is the Natural Language Processing Specialization about?
What will I be able to do after completing the Natural Language Processing Specialization?
What makes this Specialization so different?
What background knowledge is necessary for the Natural Language Processing Specialization?
Who is this Specialization for?
How long does it take to complete the Natural Language Processing Specialization?
Who created the Natural Language Processing Specialization?
The Natural Language Processing Specialization was updated in October 2021. What is different in the new version?
I’m currently enrolled in one or more courses in the Natural Language Processing Specialization. What does this mean for me?
I’ve already completed one or more courses in the Natural Language Processing Specialization but don’t have an active subscription. What does this mean for me?
還有其他問題嗎?請訪問 學生幫助中心。