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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Principais avaliações do IMAGE UNDERSTANDING WITH TENSORFLOW ON GCP
Amazing course! Definitely recommend the course for learning Google's way to handle images! ;)
Some of the content could not be completed/needs to be updated. I ran into a few bugs/errors, but still wanted to learn the content/gain the certificate.
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 !
The course is good however for 2020 it seems out of date as it uses TensorFlow v1 which is way more complex as compared to the last east v2.
Sobre Programa de cursos integrados 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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