자연 언어 처리 특화 과정
Break into the NLP space. Master cutting-edge NLP techniques through four hands-on courses!
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배울 내용
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
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이 전문 분야 정보
응용 학습 프로젝트
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
이 전문 분야에는 4개의 강좌가 있습니다.
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:
제공자:

deeplearning.ai
Founded by Andrew Ng, DeepLearning.AI is an education technology company that develops a global community of AI talent.
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전문 분야를 완료하면 대학 학점을 받을 수 있나요?
전문 분야를 완료하면 대학 학점을 받을 수 있나요?
What background knowledge is necessary?
Is this a standalone Course or a Specialization?
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Do I need to take the courses in a specific order?
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