Opiniones y comentarios de aprendices correspondientes a Computer Vision Fundamentals with Google Cloud por parte de Google Cloud
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Principales reseñas
DL
28 de oct. de 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
10 de dic. de 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.
26 - 50 de 61 revisiones para Computer Vision Fundamentals with Google Cloud
por Luiz G M
•24 de nov. de 2018
Great Course!
por Gregory G J
•22 de mar. de 2021
Thumbs Up!
por Gregory R G J
•30 de abr. de 2019
Thumbs Up!
por Kamlesh C
•18 de jun. de 2020
Thank you
por Anshumaan K P
•22 de nov. de 2020
NYC :D
por SOYOUNG J
•26 de jun. de 2019
Good
por Atichat P
•4 de oct. de 2018
Good
por Antony J
•6 de jun. de 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.
por Juanjia Y
•19 de abr. de 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.
por Ed E
•30 de dic. de 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.
por Guillermo M
•22 de ago. de 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.
por Carlos V
•8 de dic. de 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.
por James H
•24 de feb. de 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.
por AnnChristin A R
•5 de mar. de 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.
por Pratima S
•5 de mar. de 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.
por Vishrut K
•20 de may. de 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.
por Mirko J R
•4 de abr. de 2019
You should improve the explanation of Transfer Learning from prebuilt models like ResNet. The conceptual side is not clear.
por Roopesh N
•23 de dic. de 2018
Good Practical Experience with the concepts what that I learned . Good for recommending my friends.
por Abhishek S
•22 de nov. de 2019
Great TPU Exploration.
Mr LEK Is very cool and his explanation about the topic is sound easy.
por Md. A A M
•14 de jul. de 2020
Everything is good except Lab of Transfer learning was missing.
por Kiruthika M
•30 de mar. de 2021
I hope its an useful course for my carrer.
por Armando F
•18 de may. de 2019
Highly recommended
por Nikhileshkumar I
•15 de sep. de 2019
greate course.
por hemant k
•27 de nov. de 2018
Good material
por George V
•12 de abr. de 2020
nice
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