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.
Acerca de este Curso
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 %
Principales reseñas sobre SEQUENCE MODELS FOR TIME SERIES AND NATURAL LANGUAGE PROCESSING
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.
Good Course with enough practical exercises to get some hands on experience.
A Very powerful course Thanks for all google team
Everything was fine except the solution videos are old, that why you should update with update code.
Acerca de Programa especializado: Advanced Machine Learning on Google Cloud
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.
¿Puedo acceder a una vista preliminar del curso antes de inscribirme?
¿Qué recibiré cuando me inscriba?
¿Cuándo recibiré mi Certificado de curso?
¿Por qué no puedo participar como oyente en este curso?
¿Hay ayuda económica disponible?
¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.