Google Cloud Training
This is the third course of the Advanced Machine Learning on GCP specialization. In this course, We will take a look at different strategies for building an image classifier using convolutional neural networks. We’ll improve the model’s accuracy with augmentation, feature extraction, and fine–tuning hyperparameters while trying to avoid overfitting our data. We will also look at practical issues that arise, for example, when you don’t have enough data and how to incorporate the latest research findings into our models. You will get hands–on practice building and optimizing your own image classification models on a variety of public datasets in the labs we’ll work on together. Prerequisites: Basic SQL, familiarity with Python and TensorFlow We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Instructor Details
Courses : 28
Specification: Image Understanding with TensorFlow on GCP
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35 reviews for Image Understanding with TensorFlow on GCP
Add a review
| Provider | |
|---|---|
| Duration | 12 hours |
| Year | 2018 |
| Level | Expert |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
ELINGUI P U –
A very good course, with cutting edge research about Deep Learning, Go google :–) !
Atichat P –
Good
Jun W –
An excellent course. Clear, concise and comprehensive.
Harold L M M –
Very good course on CNNs. The labs were cool. Thank you!
Luiz G M –
Great Course!
Anjani K S –
Really interesting labs in this course!.Thank you!
Hemant D K –
Good material
Raja R G –
Great learning on Image ML models…
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.
Roopesh N –
Good Practical Experience with the concepts what that I learned . Good for recommending my friends.
Mark D –
Was worried this would be just another CNN course but it was so much more. Showing out to use existing models etc. The details on CNN is a little lite but that can be found elsewhere. What was really good was the batch normalization and using pre–trained models but just changing the dense layers to provide classification,
bhadresh s –
It was One of the great course having labs which was really fun
vincent p –
Several quicklabs issues TPU quicklabs does not work. Always getting access error. I added manually the rights, but then I have an error about import apache–beam. AutoML Vision quicklabs needs to mention to enable per object ACL or you cannot set the ACL. Datalab is very very slow to start, very painful.
Facundo F –
Excelent in every aspect. contents, coding, pacing. awesome
Abdul R Y –
G r e a t e C o u r s e .
Konstantinos S –
Most labs don’t work or are pointless
Mirko J R –
You should improve the explanation of Transfer Learning from prebuilt models like ResNet. The conceptual side is not clear.
Gregory R G J –
Thumbs Up!
Armando F –
Highly recommended
SOYOUNG J –
Good
Jakub B –
Subscribing to this course only gives you option to run assignments on Qwik labs, and they’re very poor for these kinds of assignments. You won’t get any feedback on assignments anyway since there is no grader. If you want to check out the material it’s better to just clone training–data–analyst from github and do these assignments on GCP free tier.
Putcha L N R –
Amazing course! Definitely recommend the course for learning Google’s way to handle images! 😉
Jeramia P –
Many things have changed in the labs and the instructions are no longer as clear and relevant as in other courses.
Daniel L –
The code in the labs needs updating.
Jose G 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.
Nikhileshkumar I –
greate course.
Kartik . –
code not explained correctly
Vinicius P A –
Definitely amazing course, the way that they’ve shown to us was brilliant. Thanks Google for this.
ravi P –
very good course
Danilo D –
Many labs have not been updated
Abhishek H S –
Great TPU Exploration. Mr LEK Is very cool and his explanation about the topic is sound easy.
Muhammad W P A –
End to End learning image undestanding from the scratch manual code to fully automated from Google Cloud Platform services
Mahendra S C –
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.
VIGNESHKUMAR R –
Please improve this course content
Edik A –
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.