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Intro to TensorFlow, Google Cloud

4.4
1,161 calificaciones
123 revisiones

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***NEW! Specialization Completion Challenge, receive Qwiklabs credits valued up to $150! See below for details.*** 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 SPECIALIZATION COMPLETION CHALLENGE As if learning new skills wasn’t enough of an incentive, we're excited to announce a special completion challenge for 'Machine Learning with TensorFlow on Google Cloud Platform’ specialization. Here’s how it works: Our completion challenge runs through 11:59pm PT May 5, 2019. Complete any course in this Specialization including this one, anytime in this period and we'll send you 30 Qwiklabs credits for each course completed (upto $150 value given there are 5 courses in the specialization). You can use these credits to take additional labs and earn badges, which you can then add to your resume and social profiles. Your challenge awaits – begin learning on Coursera today!...

Principales revisiones

por 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!

por 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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122 revisiones

por 이정창

Apr 17, 2019

good intro to tensorflow

por Bill Fugaru

Apr 17, 2019

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

por Peter Franek

Apr 16, 2019

It's not much about Tensorflow, more a showcase of a "black-box approach" on how to use GCP

por Arman Ahmed

Apr 11, 2019

Pros: Tensorflow is an excellent framework for deep learning

Cons :

1- The way this material is designed is 10 X SHIT

2- Either teach properly or don't teach at all.

por CHRISTOPHER MEYER

Apr 10, 2019

This course needs to be revised for TensorFlow 2.0

por Akash Gupta

Apr 10, 2019

thanks google

por Yuvaraj G

Apr 05, 2019

The procedure to connect to the cloud datalab was time consuming to do it every time.

Suggestion : More topics in Core Tensorflow could be added. I enjoyed the course!

por Sujeethan Vigneswaran

Mar 26, 2019

Amazing

por Stephen Yin

Mar 22, 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...

por Devashish Lal

Mar 18, 2019

hard to understand had to re watch a lot