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Image Understanding with TensorFlow on GCP(으)로 돌아가기

Google 클라우드의 Image Understanding with TensorFlow on GCP 학습자 리뷰 및 피드백

284개의 평가
33개의 리뷰

강좌 소개

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 COMPLETION CHALLENGE Complete any GCP specialization from November 5 - November 30, 2019 for an opportunity to receive a GCP t-shirt (while supplies last). Check Discussion Forums for details....

최상위 리뷰


Jul 24, 2019

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


Jan 23, 2019

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

필터링 기준:

Image Understanding with TensorFlow on GCP의 32개 리뷰 중 1~25

교육 기관: 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.

교육 기관: Konstantinos S

Mar 29, 2019

Most labs don't work or are pointless

교육 기관: 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.

교육 기관: Luiz G M

Nov 25, 2018

Great Course!

교육 기관: Anjani K S

Nov 28, 2018

Really interesting labs in this course!.Thank you!

교육 기관: bhadresh s

Jan 23, 2019

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

교육 기관: Abdul R Y

Mar 26, 2019














교육 기관: Facundo F

Mar 16, 2019

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

교육 기관: Raja R G

Dec 09, 2018

Great learning on Image ML models...

교육 기관: Please

Dec 07, 2018


교육 기관: 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,

교육 기관: ELINGUI P U

Sep 21, 2018

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

교육 기관: Atichat P

Oct 05, 2018


교육 기관: 林佳佑

Nov 02, 2018

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

The AUTOML is fascinated technique for learning

교육 기관: Jun W

Nov 08, 2018

An excellent course. Clear, concise and comprehensive.

교육 기관: Harold L M M

Nov 16, 2018

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

교육 기관: SOYOUNG J

Jun 26, 2019


교육 기관: Putcha L N R

Jul 24, 2019

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

교육 기관: Daniel L

Aug 12, 2019

The code in the labs needs updating.

교육 기관: Gregory R G J

Apr 30, 2019

Thumbs Up!

교육 기관: Vinícius P A

Oct 23, 2019

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

교육 기관: ravi P

Oct 29, 2019

very good course

교육 기관: Hemant D K

Nov 28, 2018

Good material

교육 기관: Mirko J R

Apr 04, 2019

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

교육 기관: Carlos V

Dec 09, 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.