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.
About this Course
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TOP REVIEWS FROM NATURAL LANGUAGE PROCESSING ON GOOGLE CLOUD
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.
Very good.The explanation of the RNN was very good but the tensor2tensor was very hard.
Felt somewhat advanced learning, which made tough to complete intime
I have only one remark, please improve lesson regarding NLP by includin model build etc.
Otherwise course is excellent and was helpful for me
About the Advanced Machine Learning on Google Cloud Specialization
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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