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Volver a Serverless Machine Learning with Tensorflow on Google Cloud Platform

Opiniones y comentarios de aprendices correspondientes a Serverless Machine Learning with Tensorflow on Google Cloud Platform por parte de Google Cloud

4.5
2,222 calificaciones
268 revisiones

Acerca del Curso

This one-week accelerated on-demand course provides participants a a hands-on introduction to designing and building machine learning models on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn machine learning (ML) and TensorFlow concepts, and develop hands-on skills in developing, evaluating, and productionizing ML models. OBJECTIVES This course teaches participants the following skills: ● Identify use cases for machine learning ● Build an ML model using TensorFlow ● Build scalable, deployable ML models using Cloud ML ● Know the importance of preprocessing and combining features ● Incorporate advanced ML concepts into their models ● Productionize trained ML models PREREQUISITES To get the most of out of this course, participants should have: ● Completed Google Cloud Fundamentals- Big Data and Machine Learning course OR have equivalent experience ● Basic proficiency with common query language such as SQL ● Experience with data modeling, extract, transform, load activities ● Developing applications using a common programming language such Python ● Familiarity with Machine Learning and/or statistics Google Account Notes: • Google services are currently unavailable in China....

Principales revisiones

NP

Jan 09, 2018

Thank you very much for making this course available on Coursera, I cannot agree more the knowledge of Mr Venkat. This is a great way to help people to get started with Google Machine Learning.

HM

Sep 08, 2018

A very good course on TensorFlow, ML and Google MLE on GCP.\n\nThe Labs are self contained and the problems proposed are very challenging. I learned a lot on this course.\n\nThank you!

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176 - 200 de 263 revisiones para Serverless Machine Learning with Tensorflow on Google Cloud Platform

por Chirag A

Jul 31, 2017

Starting from basics of Tensorflow and going deep with low level apis, and finally teaching how to write code at scale and deploy in real use cases.

por Manuel P Z

May 15, 2018

Great introduction to tensor flow and machine learning techniques like feature engineering and hyperparameter.

por Jonathan G

Oct 24, 2017

A lot of detail to absorb in a short time.

por Antonio O

Jun 29, 2017

very helpful. Have now a better perspective on GCP and ML Engine.

por Roderick P

Feb 07, 2018

quizes keep saying an error has occurred in the coursera app. Also had to retake a test I passed

por Chris G

Jan 19, 2018

The scope is ambitious - but the area is complex so it needs to be.

The concepts are presented clearly, but the code and techniques will take more study than the course allows.

A good grounding in Python certainly helps.

por Girish P

Dec 13, 2017

.

por Zhenyang H

Jul 12, 2017

Machine learning part is really hard without too much of previous experience especially on the python code.

por Sam K

Apr 23, 2018

Quite a long course, audio needs some work.

por pradeep t

May 03, 2019

Excellent content .Great instructiors . BUt the lab sessions were very slow to run . Need more time for these may be 2 hrs .

por NIKHIL P M

May 13, 2019

Good Course For Beginners on GCP.

por Prateek A

May 16, 2019

Just a introduction of deep learning tensorflow APIs using Google cloud. Could have explained in more detail about the functionality of Estimators and how Cloud ML Engine can be used. Outside this course there are not many documentation provided on these topics. It is a difficult task for beginners to use GCP for running high level APIs for machine learning.

por Harsha A

May 18, 2019

A very detailed course for introduction to Tensor flow for Data engineers.

por Ashwin S

May 28, 2019

good

por Aadil S

Jun 10, 2019

The course was good for the data engineers beginning with GCP, a bit more syntactical information can be added in the notebooks, it will this course even better.

por Aditya C

Jun 16, 2019

Tensorflow ecosystem is vast and complicated. I believe that a better representation than the one in this course can yet be built. Awesome course but still could always use some more inputs.

por Cedric A W

Jul 05, 2019

Hated this course. Too many bugs! I had to settle for a 75% on Lab 7 due to unchangeable code errors (ie deprecated methods/functions)

por Robson E d S P

Jul 14, 2019

Achei este curso LONGO de mais, para uma sprint de uma semana apenas, deveria ser 2 semanas. por isso não dou 5 star.

por Edouard A

Jul 21, 2019

Good course but not writing code much is really hindering understanding.

Last lab is bugged

por Bhaskar V

Aug 17, 2019

Informative and detailed

por Dhwaj G

Aug 17, 2019

Very good introduction to concepts, would give 5* if it encourages to write more code than reading code

por Ihor D

Aug 19, 2019

It would be 5 stars if not a bad quality of latest material in the course (around last lab and INCLUDING last lab, which is simply not working -- there was a package conflict issue in a notebook code -- had to find a work around in order to pass it)

por Jacob T S

Sep 11, 2019

Okay overview, not too in depth and doesn't explain all of the code very well

por Dmytro C

Aug 25, 2019

It would be much better if there was more quizzes.

por Jose F C P

Nov 19, 2018

El curso es correcto, demasiado denso, para acabar solo arañando la superficie de lo que es Machine Learning. Los laboratorios ha sido pésimo.