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Отзывы учащихся о курсе Image Understanding with TensorFlow on GCP от партнера Google Cloud

Оценки: 332
Рецензии: 39

О курсе

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...

Лучшие рецензии


Dec 11, 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.


Dec 03, 2018

Whenever I think that this course is the best, I'm taking the next one and I'm finding that the new one is also great or even greater than the previous!

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1–25 из 37 отзывов о курсе Image Understanding with TensorFlow on GCP

автор: vincent p

Feb 16, 2019

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.

автор: Konstantinos S

Mar 29, 2019

Most labs don't work or are pointless

автор: Jakub B

Jun 26, 2019

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.

автор: Mark D

Jan 21, 2019

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,

автор: Please

Dec 07, 2018


автор: Mahendra S C

Dec 11, 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.

автор: Muhammad W P A

Dec 09, 2019

End to End learning image undestanding from the scratch manual code to fully automated from Google Cloud Platform services

автор: 林佳佑

Nov 02, 2018

this Courser teach a ongoing technique in GCP, and the world

The AUTOML is fascinated technique for learning

автор: Vinícius P A

Oct 23, 2019

Definitely amazing course, the way that they've shown to us was brilliant. Thanks Google for this.

автор: Putcha L N R

Jul 24, 2019

Amazing course! Definitely recommend the course for learning Google's way to handle images! ;)

автор: ELINGUI P U

Sep 21, 2018

A very good course, with cutting edge research about Deep Learning, Go google :-) !

автор: bhadresh s

Jan 23, 2019

It was One of the great course having labs which was really fun

автор: Facundo F

Mar 16, 2019

Excelent in every aspect. contents, coding, pacing. awesome

автор: Harold L M M

Nov 16, 2018

Very good course on CNNs. The labs were cool. Thank you!

автор: Jun W

Nov 08, 2018

An excellent course. Clear, concise and comprehensive.

автор: Anjani K S

Nov 28, 2018

Really interesting labs in this course!.Thank you!

автор: Daniel L

Aug 12, 2019

The code in the labs needs updating.

автор: Raja R G

Dec 09, 2018

Great learning on Image ML models...

автор: ravi P

Oct 29, 2019

very good course

автор: Abdul R Y

Mar 26, 2019














автор: Luiz G M

Nov 25, 2018

Great Course!

автор: Gregory R G J

Apr 30, 2019

Thumbs Up!

автор: SOYOUNG J

Jun 26, 2019


автор: Atichat P

Oct 05, 2018


автор: Edik 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.