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Intro to TensorFlow, Google Cloud

4.4
Оценки: 762
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Об этом курсе

We introduce low-level TensorFlow and work our way through the necessary concepts and APIs so as to be able to write distributed machine learning models. Given a TensorFlow model, we explain how to scale out the training of that model and offer high-performance predictions using Cloud Machine Learning Engine. Course Objectives: Create machine learning models in TensorFlow Use the TensorFlow libraries to solve numerical problems Troubleshoot and debug common TensorFlow code pitfalls Use tf.estimator to create, train, and evaluate an ML model Train, deploy, and productionalize ML models at scale with Cloud ML Engine...

Лучшие рецензии

автор: DW

Oct 17, 2018

pretty good. some of the code in the last lab could be better explained. also please debug the cloud shell, as it does not always show the "web preview" button ;) otherwise, good job!

автор: SS

Jun 06, 2018

Nice introduce, might be more on introduce the model structure, because I still need to read additional notes to locate how to train my deep learning model online.

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Рецензии: 83

автор: meganlee

Dec 12, 2018

really love the exercises and code labs

автор: nicolas jager

Dec 08, 2018

/!\ THIS COURSE IS A FRAUD /!\

this course is a way more about google cloud than tensorflow:

-You'll never learn how to install and setup tensorflow on your own infrastructure. Count how many time the logo of google cloud vs tensorflow appears. Another fact? they propose to win a google cloud tshirt on the forum... but you'll learn how to use google cloud...

-Tutors tell to don't use the forum on coursera, but the google tickets system... but as long as I pay on coursera, I expect to have a serious following from the tutors on the coursera forum, isn't it legit ?

-Of course they don't forget to send you email about google cloud products...

-You only have to pass quiz, no need to do the exercises, just log to them then your good to pass... is that serious ? what does worth my certificate ?

-I'm definitely not happy of this one, this will down my confidence in coursera...

btw I will send this message to coursera either in the way to get some explanation how this could be possible... I mean we are talking about google doing a fraud!

автор: Raja Ranjith Garikapati

Dec 05, 2018

All good content

автор: Prateek Dahale

Dec 04, 2018

Course was informative and content was apt. Explanation by the instructors were also very good

автор: Alexander Zehetmaier

Dec 03, 2018

Good course! Sometimes I was not 100% sure what I was supposed to do. But the solution videos made it clear afterwards.

автор: Joel Mitchell

Dec 03, 2018

great course, with clear instructions!

автор: Kevin David Farinango Cinilin

Nov 30, 2018

Excelente un gran curso introductorio

автор: Abdul Rehman Yousaf

Nov 27, 2018

Great course!

автор: Mark Broich

Nov 25, 2018

the vid on why cloud ML was great: e.g. taking things to a new level by offering distributed training to users

the debrief of the last lab was key.

some pointers re the challenge exercises would be nice.

Great job introducing users to tensor flow, the estimators and how to train and deploy in the cloud.

Thanks

What was I looking at in the ML cloud log (last lab)?

Why was there a deadline for the assignments? I thought this was self paced learning. I like the material a lot yet my day job workload varies so having deadlines on labs that I would want to understand in more depth is sometimes not ideal. In any case. Great material . Thank you

автор: Santanu Bhattacharjee

Nov 21, 2018

Excellent course