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

4.6
stars
540 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 !

ZS

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 - 62 of 62 Reviews for Computer Vision Fundamentals with Google Cloud

By Kiruthika M

•

Mar 30, 2021

I hope its an useful course for my carrer.

By Armando F

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May 18, 2019

Highly recommended

By Nikhileshkumar I

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Sep 15, 2019

greate course.

By hemant k

•

Nov 27, 2018

Good material

By George V

•

Apr 12, 2020

nice

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

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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

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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 Danilo D

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Nov 17, 2019

Many labs have not been updated

By Kartik .

•

Sep 21, 2019

code not explained correctly

By Max M

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Jul 19, 2020

labs are the same and not challenging