Chevron Left
Volver a Computer Vision Fundamentals with Google Cloud

Opiniones y comentarios de aprendices correspondientes a Computer Vision Fundamentals with Google Cloud por parte de Google Cloud

513 calificaciones

Acerca del Curso

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....

Principales reseñas


28 de oct. de 2020

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 !


10 de dic. de 2019

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.

Filtrar por:

51 - 61 de 61 revisiones para Computer Vision Fundamentals with Google Cloud

por anand v

11 de feb. de 2022

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 Some of the screenshots in the lab instructions are outdated and incorrect.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.

por Preston L

9 de ene. de 2022

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

por Jeramia P

7 de ago. de 2019

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

por German M

4 de ago. de 2020

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


30 de dic. de 2019

Please improve this course content

por Adrian C

20 de sep. de 2021

i​nformation not updated

por Danilo D

17 de nov. de 2019

Many labs have not been updated

por Kartik .

21 de sep. de 2019

code not explained correctly

por hig213

21 de jul. de 2022

The labs don't work, I've been in contact with the support team for more than a month, still not able to use the labs which are the whole point of taking this course. So much of my time has been wasted in this process.

por Abhishek C

23 de jul. de 2022

Can't able to access any of the labs.

por Max M

19 de jul. de 2020

labs are the same and not challenging