This course is an introduction to sequence models and their applications, including an overview of sequence model architectures and how to handle inputs of variable length.
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SEQUENCE MODELS FOR TIME SERIES AND NATURAL LANGUAGE PROCESSING의 최상위 리뷰
Great way to practically learn a lot of stuff. Sometimes, a lot of it starts to go over head. But, it is completely worth the learning curve! Definitely recommend it!
I have only one remark, please improve lesson regarding NLP by includin model build etc. Otherwise course is excellent and was helpful for me
Though not focused on fundamental concepts, it's a great course to learn to use tensorflow and google cloud platform for sequence modelling.
I like it because it is very relevant to my work. The dialogflow part is a bit weak. I am not sure if it is the product or the course.
Advanced Machine Learning on Google Cloud 특화 과정 정보
This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where “Machine Learning on GCP” left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended that you take the courses in exactly this order.
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