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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

4.6
471 個評分
53 條評論

課程概述

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...

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DL
2020年10月28日

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 !

MC
2019年12月10日

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.

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26 - Image Understanding with TensorFlow on GCP 的 50 個評論(共 51 個)

創建者 Gregory R G J

2019年4月30日

Thumbs Up!

創建者 Kamlesh C

2020年6月18日

Thank you

創建者 Anshumaan K P

2020年11月22日

NYC :D

創建者 SOYOUNG J

2019年6月26日

Good

創建者 Atichat P

2018年10月4日

Good

創建者 Juanjia Y

2020年4月19日

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.

創建者 Ed E

2019年12月30日

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.

創建者 Guillermo M

2019年8月22日

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.

創建者 Carlos V

2018年12月8日

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 James H

2020年2月24日

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.

創建者 Pratima S

2020年3月5日

This course is very helpful if any one working with image processing it solves many real time problem occurs during image collection and processing.

創建者 Vishrut K

2020年5月20日

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.

創建者 Mirko J R

2019年4月4日

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

創建者 Roopesh N

2018年12月23日

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

創建者 Abhishek S

2019年11月22日

Great TPU Exploration.

Mr LEK Is very cool and his explanation about the topic is sound easy.

創建者 Md A A M

2020年7月14日

Everything is good except Lab of Transfer learning was missing.

創建者 Armando F

2019年5月18日

Highly recommended

創建者 Nikhileshkumar I

2019年9月15日

greate course.

創建者 Hemant D K

2018年11月27日

Good material

創建者 George V

2020年4月12日

nice

創建者 Jeramia P

2019年8月7日

Many things have changed in the labs and the instructions are no longer as clear and relevant as in other courses.

創建者 German M

2020年8月4日

Overall good effort. Some of the labs at week 2 should be adapted to the TF 2.X specs.

創建者 VIGNESHKUMAR R

2019年12月30日

Please improve this course content

創建者 Danilo D

2019年11月17日

Many labs have not been updated

創建者 Kartik .

2019年9月21日

code not explained correctly