강좌 소개
최상위 리뷰
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.
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.
TensorFlow 소개의 302개 리뷰 중 251~275
교육 기관: Daniel J
•This course, while comprehensive, does not account for many of the API updates TensorFlow 2.0 introduced.
교육 기관: Roger S P M
•Very useful intro to TensorFlow tools. But not much real instruction on how to program to them.
교육 기관: Juan F B D
•VARIOS LABORATORIOS ESTAN DESACTUALIZADOS EN LA EXPLICACION HACIENDO TEDIOSO SEGUIRLOS
교육 기관: Benjamin F
•Good concepts and material, but needs to be updated to TF2.0 and GCLOUD AI plaftorm
교육 기관: Hemil P
•Week 2's content was not satisfactory. Estimator API was not taught properly.
교육 기관: Nishant P
•Week 1 is very well taught. Rest of the course should be more elaborate.
교육 기관: Krishna K K
•week 3 wast video content is not east to understand, ca be made better
교육 기관: Pedro F
•The content is good, the exercises are way too "just hit next"
교육 기관: José C L A
•As of April 2020, this course is already so outdated.
교육 기관: Francis
•Exercises are sometimes disconnected from the theory.
교육 기관: Bikram G
•Very Basic course.Get an Introduction Knowledge!
교육 기관: Matthew F
•Not enough training in small bit sized steps
교육 기관: Devashish L
•hard to understand had to re watch a lot
교육 기관: Eugene L
•Please update qwiklab notebooks
교육 기관: Neeraj
•Could be substantially good
교육 기관: yannick t
•Many problems with the labs
교육 기관: Max M
•Labs not very challenging
교육 기관: Rohan M
•Few things are off topic
교육 기관: Bart V
•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.
교육 기관: Ghislain D
•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
교육 기관: Fuat A
•It was a new programming paradigm for me. So, I can't say that I got it
completely. Exercises required to much code completion and there were not enough hints on the notebooks. I managed to finish the class in a day though. I think, I now know the basic concepts of Tensorflow.
Thank you.
교육 기관: Cooper C
•This course is just ok. It is not interactive and I don't feel that I learned much when compared with other ML courses. I expected to work through the lab assignments rather than to simply click through them.
I feel that this course was a waste of time.
교육 기관: Vidit V
•I don't feel this course , i don't understand many concepts . As the course name suggest " Intro to Tenserflow " So, You should have to teach from basic and many concepts are out of my head i don't understand
교육 기관: Prem U
•there is very little explaination on code in this course everything you learn is from the labs .I recommend youll to add some more explaination on each part that would be very helpful
교육 기관: SARTHAK B
•Needs proper explanation on the labs. Labs needs to be better and should be like the labs from Deepleaning.ai courses
Coursera Footer
