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Voltar para Image Understanding with TensorFlow on GCP

Comentários e feedback de alunos de Image Understanding with TensorFlow on GCP da instituição Google Cloud

4.6
estrelas
511 classificações
60 avaliações

Sobre o curso

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...

Melhores avaliações

DL

28 de out 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 !

MC

10 de dez 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.

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51 — 58 de 58 Avaliações para o Image Understanding with TensorFlow on GCP

por Preston L

9 de jan 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.

por VIGNESHKUMAR R

30 de dez de 2019

Please improve this course content

por Adrian C

20 de set de 2021

i​nformation not updated

por Danilo D

17 de nov de 2019

Many labs have not been updated

por Kartik .

21 de set de 2019

code not explained correctly

por Max M

19 de jul de 2020

labs are the same and not challenging