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Intro to TensorFlow, Google Cloud

1,291 ratings
138 reviews

About this Course

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...

Top reviews


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!


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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135 Reviews

By Paripol Toopiroh

May 18, 2019

Good to know intro concept

By Adam David Scott

May 15, 2019

The content is great, and the instructors do a good job. However, I could not connect to qwiklabs, so it would be beneficial if Google would create labs within Coursera's framework.

By Amol Mahajan

May 12, 2019

best course for learning tf.estimator API.

By Fathima jabbar

May 11, 2019


By Rahul Kumar

May 06, 2019

My favorite course of this specialization !!!

By Zhuqing Xue

May 04, 2019

Love it!

By Francis

May 02, 2019

Exercises are sometimes disconnected from the theory.

By Raghuram Nandepu

Apr 29, 2019

Good introductory course on Tensorflow.

By Dong Hyun Seo

Apr 28, 2019


By 영신 박

Apr 27, 2019