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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

4.6
별점
506개의 평가
59개의 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...

최상위 리뷰

DL
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 !

MC
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 57개 리뷰 중 51~57

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.

교육 기관: VIGNESHKUMAR R

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