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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
2,369 calificaciones
282 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. COMPLETION CHALLENGE Complete any GCP specialization from November 5 - November 30, 2019 for an opportunity to receive a GCP t-shirt (while supplies last). Check Discussion Forums for details....

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.

MG

Sep 21, 2017

Great course! I've learnt a lot. The concepts where super clear. The coding part was a little difficult, I didn't understand all af it, but it's good to have a complete example to use.

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176 - 200 de 277 revisiones para Serverless Machine Learning with Tensorflow on Google Cloud Platform

por Anil K G

Dec 30, 2017

video clarity can be better i.e ppt screens when i maximize the video .

por Jon K

Sep 15, 2017

The lab breakdown was a little confusing, doing only certain parts of it, but still pretty informative. A couple of sections were complete overlap of the video from the previous section. Tons to learn here.

por Alexey I

Nov 24, 2017

Why would you cut videos in so many pieces? So many videos are under 1 minute...

por Tom M

Feb 18, 2018

Great TensorFlow Examples

por Moses O M

Oct 24, 2017

Great Course!

It was easy to follow through the concepts and finally put everything together. The concepts were a bit complex, but Lak managed to break them down into comprehensible chunks. Some videos were very short and could benefit from combining them into at least 1 minute or a few minutes.

Overall great course and great delivery!

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