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.
Acerca de este Curso
Habilidades que obtendrás
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Principales reseñas sobre IMAGE UNDERSTANDING WITH TENSORFLOW ON GCP
You should improve the explanation of Transfer Learning from prebuilt models like ResNet. The conceptual side is not clear.
Amazing course! Definitely recommend the course for learning Google's way to handle images! ;)
Fairly basic course and would have liked more guidance on setting up jobs for processing including sample JSON requests etc. However was interesting but definitely not challenging.
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.
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