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Learner Reviews & Feedback for Introduction to TensorFlow by Google Cloud

4.4
stars
2,549 ratings
311 reviews

About the Course

This course is focused on using the flexibility and “ease of use” of TensorFlow 2.x and Keras to build, train, and deploy machine learning models. You will learn about the TensorFlow 2.x API hierarchy and will get to know the main components of TensorFlow through hands-on exercises. We will introduce you to working with datasets and feature columns. You will learn how to design and build a TensorFlow 2.x input data pipeline. You will get hands-on practice loading csv data, numPy arrays, text data, and images using tf.Data.Dataset. You will also get hands-on practice creating numeric, categorical, bucketized, and hashed feature columns. We will introduce you to the Keras Sequential API and the Keras Functional API to show you how to create deep learning models. We’ll talk about activation functions, loss, and optimization. Our Jupyter Notebooks hands-on labs offer you the opportunity to build basic linear regression, basic logistic regression, and advanced logistic regression machine learning models. You will learn how to train, deploy, and productionalize machine learning models at scale with Cloud AI Platform....

Top reviews

AJ
Nov 14, 2020

Excellent 'Introduction' to TensorFlow 2.0 (HINT: 'Introduction' does not mean 'Easy').\n\nEvan Jones is at his best giving rapid intuitive explanations of advanced topics in deep neural networks.

VC
May 17, 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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251 - 275 of 307 Reviews for Introduction to TensorFlow

By TEJ P A

May 4, 2020

I think that the instructors were good but content was not sufficient. Also they culd have added more on tensorflow2.0

By Colin G

Dec 23, 2019

Good intro to TF, but not updated for 2.0. Also felt at times more like a lesson in Cloud Platform and Jupyter.

By Saloni B

Jul 23, 2019

The course is just gives an insight. It would have been more beneficial if there were some graded assignments.

By AerysS

Mar 28, 2020

Pretty Ok-ish. The notebook needs to guide more specifically, since you learn syntax and code along the way.

By Kevin D B

Dec 3, 2019

Too much big picture fluff and not enough actual explanation on the code and how to do things in practice.

By Daniel J

Jan 22, 2020

This course, while comprehensive, does not account for many of the API updates TensorFlow 2.0 introduced.

By Roger S P M

Jun 7, 2019

Very useful intro to TensorFlow tools. But not much real instruction on how to program to them.

By Juan F B D

Jan 16, 2019

VARIOS LABORATORIOS ESTAN DESACTUALIZADOS EN LA EXPLICACION HACIENDO TEDIOSO SEGUIRLOS

By Benjamin F

Apr 5, 2020

Good concepts and material, but needs to be updated to TF2.0 and GCLOUD AI plaftorm

By Hemil P

Nov 3, 2018

Week 2's content was not satisfactory. Estimator API was not taught properly.

By Nishant P

Jun 8, 2019

Week 1 is very well taught. Rest of the course should be more elaborate.

By Krishna K K

Jul 26, 2019

week 3 wast video content is not east to understand, ca be made better

By Pedro F

Mar 6, 2019

The content is good, the exercises are way too "just hit next"

By José C L A

Apr 28, 2020

As of April 2020, this course is already so outdated.

By Francis

May 2, 2019

Exercises are sometimes disconnected from the theory.

By Bikram G

Jun 11, 2020

Very Basic course.Get an Introduction Knowledge!

By Matthew F

Apr 7, 2020

Not enough training in small bit sized steps

By Devashish L

Mar 18, 2019

hard to understand had to re watch a lot

By Eugene L

Dec 12, 2019

Please update qwiklab notebooks

By Neeraj

Jun 17, 2018

Could be substantially good

By yannick t

May 23, 2018

Many problems with the labs

By Max M

Jul 21, 2020

Labs not very challenging

By Rohan M

Jun 27, 2020

Few things are off topic

By Bart V

Oct 4, 2020

Unfortunately, this is not a very good course.

There's a lot of talking, not supported by slides. The order of topics is unnatural. The teacher is mentioning all kinds of topics without explaining them.

The labs were quite frustrating, it's often not clear what is being asked.

I ended up following 2 courses by Imperial College London, also available on Coursera. These are really recommended over this one.

Then I returned to this one, but I have to maintain my judgement. This is not the course you need if you want to learn to use Tensorflow.

By Ghislain D

May 24, 2020

Access to GCP is very nice in order to discover the "real" business-side of TensorFlow in production BUT

Labs are not learner friendly

Part of exercices cannot be performed because of updates in their service and no answers available on forums (TensorBoard not being launched following their steps)

This course is NOT learning to code TensorFlow, it is a way to USE GCP in order to run ML & AI

If you want to learn to code TensorFlow, don't register

If you want to learn how to use GCP, register