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Avis et commentaires pour d'étudiants pour TensorFlow on Google Cloud par Google Cloud

2,676 évaluations

À propos du cours

This course covers designing and building a TensorFlow input data pipeline, building ML models with TensorFlow and Keras, improving the accuracy of ML models, writing ML models for scaled use, and writing specialized ML models....

Meilleurs avis


14 nov. 2020

Excellent 'Introduction' to TensorFlow 2.0 (HINT: 'Introduction' does not mean 'Easy').

Evan Jones is at his best giving rapid intuitive explanations of advanced topics in deep neural networks.


17 mai 2020

I feel this course very valuable because it taught how to create an automated service in cloud with very huge data and working with distributed systems in production environment with minimal time.

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51 - 75 sur 325 Avis pour TensorFlow on Google Cloud

par PLN R

27 déc. 2018

Amazing course! The short length of videos makes it lot easier for students to follow! Google is honestly the best at whatever it does! :)

par Stephen R

3 août 2018

Nice start. Have a look at Andrew NG's course, especially how they do the labs. Might give you some ideas for your next class versions.

par Toufik K

16 juin 2018

The BEST course I've ever taken on TensorFlow! Definitely recommended to anyone interested in learning the fundamental of TF and GCP

par Xuekun Y

22 mars 2019

Good explanation, It will be better if this class could provide slides so that we do not need to take screenshoot all the time...

par Gbadebo B

5 sept. 2018

I really enjoyed this course, i didnt know machine learning models can be deployed so easily, All thanks to tensor flow and CLME

par Maurizio C

24 sept. 2018

Excellent course, well explained.

I would like to recommend adding a lesson to train with input from external test file (CSV)

par Meynardo J

28 juil. 2018

Nice intro to TensorFlow in general, and a great explanation of the Estimator API and the Cloud Machine Learning Engine.

par Mark K

7 juin 2020

This course is so really good to learn about the general knowledge and skill of TensorFlow with Google Cloud Platform.

par Yonatan N

18 févr. 2019

This was a great introduction to the Estimator API, which is a prefect place to start for new TensorFlow developers.

par Jun W

26 mai 2018

A very good course. As I go deeper, I gradually figured out what a great job Google has done. I mean TensorFlow.


22 juin 2020

This course helped me in knowing how to train a model using tensor flow and pitfalls in using it. Thank You.

par Carl H

3 juin 2018

Labs are excellent. They give a good illustration of concepts but with the opportunity to go much deeper.

par Bill F

17 avr. 2019

You have to really follow up closely with coding in each video, as you will need the code in the labs.

par Mohammed F

6 juil. 2019

An interesting course on the basics TensorFlow Estimators and Google Cloud Machine Learning engine.

par Gowthaman S

9 avr. 2020

Very detailed overview and explanations on various Tensor Flow components and their internals.

par Sidhant P

7 mars 2019

It really helped me to get a grasp of Tensorflow. Now things are quite understandable for me.

par Thanh N N

2 juil. 2019

Great course for beginning with TensorFlow! I learned useful things from the course! Thanks!

par Sivaranjan G

5 juin 2019

This is indeed a great course on Tensorflow and Google cloud machine learning engine (CMLE).

par Saibal M

9 juil. 2019

Love this course. One of the best course in this specialization. Very informative content.

par Angel C

12 juil. 2020

Helped me get really comfortable using TensorFlow and thinking about the logic behind it.

par Kyle K

27 janv. 2019

The labs and videos provided a great framework to learn the key features of tensor-flow.

par Ramprasad P

21 déc. 2020

Very informative, clear & well structured course delivered by knowledgeable faculties

par Gustavo M

17 août 2018

Very good lectures to really take advantage of tensorFlow and Google Cloud's Services

par Sashika N

19 avr. 2020

Great course to get hands-on experience with GCP and TensorFlow. Highly recommended.

par David R D

6 sept. 2018

good introduction to tensorflow and also covers ML @ scale and production readiness.