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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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26 - 50 of 62 Reviews for Computer Vision Fundamentals with Google Cloud

By Daniel A L

Aug 12, 2019

The code in the labs needs updating.

By Raja R G

Dec 9, 2018

Great learning on Image ML models...

By kaushik g

May 2, 2020

Beautifully designed

By ravi P

Oct 29, 2019

very good course

By Abdul R Y

Mar 26, 2019

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By Luiz G M

Nov 24, 2018

Great Course!

By Gregory G J

Mar 22, 2021

Thumbs Up!

By Gregory R G J

Apr 30, 2019

Thumbs Up!

By Kamlesh C

Jun 18, 2020

Thank you

By Anshumaan K P

Nov 22, 2020

NYC :D

By AWS S J

Jun 26, 2019

Good

By Atichat P

Oct 4, 2018

Good

By Antony J

Jun 6, 2021

This is a great course for showing a high-level evolution of the subject, but the videos have gradually become a bit tired and demo legacy code that is no longer used in the lab.

I often come away from Google Cloud courses feeling that I am more aware of what can be done in a field, but not having developed true skills to actual implement the models. This course is no exception.

By Juanjia Y

Apr 19, 2020

I have to manually logging in gcp everytime for each lab and that is painful. Labs could be made more user friendly. Also I was anticipating that there's some code demo in the 2nd week can show me how to import a pre-trained model for object detection but the class only shows how to use these model on gcp platform.

By Ed A

Dec 30, 2019

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.

By Guillermo M

Aug 22, 2019

I would like to work with TPUs in one laboratory. Also, I would like to see how the pattern of image was formed throught the convolutional neural network in a lab.

By Carlos V M

Dec 8, 2018

The course provides an excellent overview of Image Understanding with TF and the utilization of all the capabilities of GCP to build productionable image systems.

By James H

Feb 24, 2020

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.

By AnnChristin A R

Mar 5, 2021

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.

By Pratima S

Mar 5, 2020

This course is very helpful if any one working with image processing it solves many real time problem occurs during image collection and processing.

By Vishrut K

May 20, 2020

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.

By Mirko J R

Apr 4, 2019

You should improve the explanation of Transfer Learning from prebuilt models like ResNet. The conceptual side is not clear.

By Roopesh N

Dec 23, 2018

Good Practical Experience with the concepts what that I learned . Good for recommending my friends.

By Abhishek S

Nov 22, 2019

Great TPU Exploration.

Mr LEK Is very cool and his explanation about the topic is sound easy.

By Md. A A M

Jul 14, 2020

Everything is good except Lab of Transfer learning was missing.