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.
이 강좌에 대하여
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
- 5 stars63.50%
- 4 stars22.36%
- 3 stars8.22%
- 2 stars2.95%
- 1 star2.95%
SEQUENCE MODELS FOR TIME SERIES AND NATURAL LANGUAGE PROCESSING의 최상위 리뷰
Excellent course for those who know RNN. Knowledge is refreshed and techniques are consolidated. More details about Google ecosystem is introduced.
A Very powerful course Thanks for all google team
Very informative, very much useful to my ongoing work on NLP.
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.
자주 묻는 질문
등록 전에 강좌를 미리 볼 수 있나요?
등록하면 무엇을 이용할 수 있나요?
강좌 수료증을 언제 받게 되나요?
이 강좌를 청강할 수 없는 이유는 무엇인가요?
재정 지원을 받을 수 있나요?
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.