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Learner Reviews & Feedback for Computer Vision Fundamentals with Google Cloud by Google Cloud

4.6
stars
521 ratings

About the Course

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. The course shows how to improve a model's accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting the data. The course also looks at practical issues that arise, for example, when one doesn't have enough data and how to incorporate the latest research findings into different models. Learners will get hands-on practice building and optimizing their own image classification models on a variety of public datasets in the labs they will work on....

Top reviews

DL

Oct 28, 2020

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 !

MC

Dec 10, 2019

Great course, great team, First week is as it was expected but second is week is outstanding. The Neural Architecture search(NAS) is outstanding. Super job.

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51 - 61 of 61 Reviews for Computer Vision Fundamentals with Google Cloud

By anand v

Feb 11, 2022

Decent course. One of the labs does not seem to be really about transfer learning. Some of the screenshots in the lab instructions are outdated and incorrect. Unresponsive discussion forum. I wouldn't have paid for this course, had I known the issues in advance.

By Preston L

Jan 9, 2022

Was a good start; kinda expected them to do more with use cases other than the basic single-category classification.

By Jeramia P

Aug 7, 2019

Many things have changed in the labs and the instructions are no longer as clear and relevant as in other courses.

By German M

Aug 4, 2020

Overall good effort. Some of the labs at week 2 should be adapted to the TF 2.X specs.

By VIGNESHKUMAR R

Dec 30, 2019

Please improve this course content

By Adrian C

Sep 20, 2021

information not updated

By Danilo D

Nov 17, 2019

Many labs have not been updated

By Kartik .

Sep 21, 2019

code not explained correctly

By hig213

Jul 21, 2022

The labs don't work, I've been in contact with the support team for more than a month, still not able to use the labs which are the whole point of taking this course. So much of my time has been wasted in this process.

By Abhishek C

Jul 23, 2022

Can't able to access any of the labs.

By Max M

Jul 19, 2020

labs are the same and not challenging