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學生對 Google 云端平台 提供的 Image Understanding with TensorFlow on GCP 的評價和反饋

172 個評分
22 個審閱


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...



Jan 23, 2019

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


Mar 26, 2019



1 - Image Understanding with TensorFlow on GCP 的 21 個評論(共 21 個)

創建者 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.

創建者 Armando F

May 18, 2019

Highly recommended

創建者 Gregory R G J

Apr 30, 2019

Thumbs Up!

創建者 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.

創建者 Konstantinos S

Mar 29, 2019

Most labs don't work or are pointless

創建者 Abdul R Y

Mar 26, 2019














創建者 Facundo F

Mar 16, 2019

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

創建者 bhadresh s

Jan 23, 2019

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

創建者 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,

創建者 Roopesh N

Dec 23, 2018

Good Practical Experience with the concepts what that I learned . Good for recommending my friends.

創建者 Raja R G

Dec 09, 2018

Great learning on Image ML models...

創建者 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.

創建者 Please

Dec 07, 2018


創建者 Anjani K S

Nov 28, 2018

Really interesting labs in this course!.Thank you!

創建者 Hemant D K

Nov 28, 2018

Good material

創建者 Luiz G M

Nov 25, 2018

Great Course!

創建者 Harold L M M

Nov 16, 2018

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

創建者 Jun W

Nov 08, 2018

An excellent course. Clear, concise and comprehensive.

創建者 林佳佑

Nov 02, 2018

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

The AUTOML is fascinated technique for learning

創建者 Atichat P

Oct 05, 2018



Sep 21, 2018

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