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 !
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.
par Gregory R G J•
par Kamlesh C•
par Anshumaan K P•
par SOYOUNG J•
par Atichat P•
par Juanjia Y•
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.
par Ed E•
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.
par Guillermo M•
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.
par Carlos V•
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.
par James H•
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.
par Pratima S•
This course is very helpful if any one working with image processing it solves many real time problem occurs during image collection and processing.
par Vishrut K•
The course is good however for 2020 it seems out of date as it uses TensorFlow v1 which is way more complex as compared to the last east v2.
par Mirko J R•
You should improve the explanation of Transfer Learning from prebuilt models like ResNet. The conceptual side is not clear.
par Roopesh N•
Good Practical Experience with the concepts what that I learned . Good for recommending my friends.
par Abhishek S•
Great TPU Exploration.
Mr LEK Is very cool and his explanation about the topic is sound easy.
par Md A A M•
Everything is good except Lab of Transfer learning was missing.
par Armando F•
par Nikhileshkumar I•
par Hemant D K•
par George V•
par Jeramia P•
Many things have changed in the labs and the instructions are no longer as clear and relevant as in other courses.
par German M•
Overall good effort. Some of the labs at week 2 should be adapted to the TF 2.X specs.
par VIGNESHKUMAR R•
Please improve this course content
par Danilo D•
Many labs have not been updated
par Kartik .•
code not explained correctly