Chevron Left
Image Understanding with TensorFlow on GCP(으)로 돌아가기

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

511개의 평가
60개의 리뷰

강좌 소개

This course describes different types of computer vision use cases and then highlights different machine learning strategies for solving these use cases. The strategies vary from experimenting with pre-built ML models through pre-built ML APIs and AutoML Vision to building custom image classifiers using linear models, deep neural network (DNN) models or convolutional neural network (CNN) models. The course shows how to improve a model's accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting the data. The course also looks at practical issues that arise, for example, when one doesn't have enough data and how to incorporate the latest research findings into different models. Learners will get hands-on practice building and optimizing their own image classification models on a variety of public datasets in the labs they will work on....

최상위 리뷰


2020년 10월 28일

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 !


2019년 12월 10일

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.

필터링 기준:

Image Understanding with TensorFlow on GCP의 59개 리뷰 중 51~59

교육 기관: anand v

2022년 2월 11일

Decent course. One of the labs does not seem to be really about transfer learning. Some of the screenshots in the lab instructions are outdated and incorrect. Unresponsive discussion forum. I wouldn't have paid for this course, had I known the issues in advance.

교육 기관: Preston L

2022년 1월 9일

Was a good start; kinda expected them to do more with use cases other than the basic single-category classification.

교육 기관: Jeramia P

2019년 8월 7일

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

교육 기관: German M

2020년 8월 4일

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


2019년 12월 30일

Please improve this course content

교육 기관: Adrian C

2021년 9월 20일

i​nformation not updated

교육 기관: Danilo D

2019년 11월 17일

Many labs have not been updated

교육 기관: Kartik .

2019년 9월 21일

code not explained correctly

교육 기관: Max M

2020년 7월 19일

labs are the same and not challenging