Published on: 2024-03-04 19:35:15
Categories: 28
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Natural Language Processing Specialization is a natural language processing course or NLP . NLP uses several algorithms to understand and modify Adam’s language . This technology is widely used in the field of machine learning are used, and the developers of it to build models that speech and language analysis work. the template text will discover it, and the insight of the text and sound business works advantage . With the use of this course and mastering this technology, are able to the application of NLP to make your own; the instant that the questions and answers period). emotion analysis, they are able to translate and summarize the text are . This tool, along with other NLP-based tools, is the highest layer in the future era of artificial intelligence .
This course will cover a variety of topics . You learn how to use logical regression and Bayes categories to analyze emotions, complete similarities and translate words . Then you will learn the use of intelligent programming and Hidden Markov models for automatic vocabulary correction, Sentence Completion and word role recognition . The use of neural networks iterative and dense, for LSTM network and the Siamese in the library TensorFlow and Trax for the analysis of more advanced emotions, the construction of the text and detection of duplicate questions from other topics of this course are . Finally, you will get acquainted with the implementation of advanced machine translation, text summarization and FAQ to build the chat bot . It should be noted that the instructors of this course are lecturers of artificial intelligence at Stafford University and a member of the research team at Google Brain .
Use logical regression Bayes categorizer and an array of words to analyze emotions complete similarities and translate vocabulary
Use intelligent programming, Hidden Markov models and embedding words to auto-correct vocabulary, complete sentences and recognize the role of word in speech
Use repeatable, dense, LSTM, Grus and Siamese networks in TensorFlow and Trax libraries for more advanced emotion analysis and text building
Use encryption and decryption causal relations and dependencies between words to summarize text and FAQ to build Chatbot
Publisher: Coursera
Lecturer: young Bensouda Mourri, Łukasz Kaiser, Eddy Shyu
Language: English
Training level: Intermediate
Quantity: 4 Courses
Duration of the course: 3 months at 10 hours a week
After the Extract with the Player your custom view.
Subtitles: English
Quality: 720p
Changes:
The 2020/10 version was added compared to the 2020/9 fourth section.
Version 2021/10 has increased by 46 lessons and duration of 48 hours compared to 2020/10.
* In version 2021/10, a number of videos and text and training files of courses three and four have been completely edited and are different from the old versions.
Version 2024/4 compared to 2021/10, the duration has decreased by 1 hour and 8 minutes.
Natural Language Processing with Attention Models 2024-3
Natural Language Processing with Classification and Vector Spaces 2024-3
Natural Language Processing with Probabilistic Models 2024-3
Natural Language Processing with Sequence Models 2024-3
2.3 GB
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