This course describes different types of computer vision use cases and then highlights different machine learning strategies for solving these use cases. The strategies vary from experimenting with pre-built ML models through pre-built ML APIs and AutoML Vision to building custom image classifiers using linear models, deep neural network (DNN) models or convolutional neural network (CNN) models.
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Meilleurs avis pour IMAGE UNDERSTANDING WITH TENSORFLOW ON GCP
Very interesting course, however, the labs did not match the solution videos and sometimes the path to the lab was directing directly to the solution.
a real eye opener education, it gave me lots of answers to the questions i had in this area. it is just amazing that ML can differ between roses and tulips !
Amazing course! Definitely recommend the course for learning Google's way to handle images! ;)
Great TPU Exploration. Mr LEK Is very cool and his explanation about the topic is sound easy.
À propos du Spécialisation 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.
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