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Intro to TensorFlow, Google Cloud

4.4
1,169 ratings
125 reviews

About this Course

***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!...

Top reviews

By 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!

By 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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123 Reviews

By Anupam Kumar

Apr 21, 2019

It is really a divine knowledge, If you are really a new to in the area of data science and especially to Tensor flow, With in a few weeks, I learnt so much and got a humongous confidence in building a model, Still long way to to go, But this course is really worth. Thanks Google Team and Coursera for putting things together .

By 이정창

Apr 17, 2019

good intro to tensorflow

By 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.

By Peter Franek

Apr 16, 2019

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

By 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.

By CHRISTOPHER MEYER

Apr 10, 2019

This course needs to be revised for TensorFlow 2.0

By Akash Gupta

Apr 10, 2019

thanks google

By 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!

By Sujeethan Vigneswaran

Mar 26, 2019

Amazing

By 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...