Chevron Left
TensorFlow 소개(으)로 돌아가기

Google 클라우드의 TensorFlow 소개 학습자 리뷰 및 피드백

2,453개의 평가
296개의 리뷰

강좌 소개

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....

최상위 리뷰


May 18, 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.


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!

필터링 기준:

TensorFlow 소개의 292개 리뷰 중 201~225

교육 기관: 서영웅

Oct 24, 2018

Let's start TensorFlow using this course.

교육 기관: Jitender S V

Jun 29, 2018

Pretty good course but less elaborated.

교육 기관: Patihe S

May 03, 2018

Good & Nice course for Data Engineering

교육 기관: ChangYong J

Jan 25, 2020

Great to know Google Cloud Platform.

교육 기관: Ruaan V

Sep 22, 2018

really enjoyed course - good insight

교육 기관: Tae H K

Apr 21, 2019

thank you for teaching tensorflow

교육 기관: Debajyoti B

Oct 03, 2018

Please some extra advance concept

교육 기관: abhijeet m

Feb 21, 2019

expect for practical skills

교육 기관: Paripol T

May 18, 2019

Good to know intro concept

교육 기관: Arun T

Apr 26, 2020

Good course for Tensor

교육 기관: Amish P

Jan 31, 2019

Thank you Lak Sir

교육 기관: Santanu B

Nov 21, 2018

Excellent course

교육 기관: Phillip

Aug 04, 2020

Tough course!

교육 기관: Abhishek A

Jan 25, 2020


교육 기관: 梁睿琪

Dec 28, 2018


교육 기관: GOURAV P

Jan 14, 2020


교육 기관: Kimkangsan

Oct 26, 2018


교육 기관: Aakash K

Feb 28, 2020


교육 기관: Marcio P D

Jul 27, 2018

Pace is too fast. It seems easy in the beggining, but when you get to the Challenge exercises, you see that you are lacking a lot of basic knowledge. It took me 3 hours to understand how to do a loop, using the low level API! I couldn't understand exactly the challenge of week 2 and post a question in the forum. No mentors answered it.

I didn't like week 3 class. The guy showed the source code and just made a quick comment about it, not explaining what was going on. I had to pause the video to check what was there, but I'd like actual detail explanation on what is going on there.

So, what I think is that this course needs more detailment and more attention to the questions in the forum.

교육 기관: Sebastian R

Oct 19, 2019

The first 2 courses in this specialization had too little substance. Here the first two weeks are very good. Unfortunately, the final week terrible. It introduces lots of interesting concepts but does not explain them adequately. You will see lots of cryptic code (getting obscure ids, running bash scripts from jupyter) without much explanation. The whole thing feels unfinished. When google is not too busy being subservient to China, it could maybe spare some resources fixing this for paying customers?

교육 기관: Ehsan A

Jul 05, 2018

I took this course separate from other courses in the series. So my review could be different if I have had all courses. Although the material covered are generally useful, I believe the course content does not help much with learning TF and code using it. Overall, the course flows well. But the third week is radically different from the first two weeks and difficult to follow.

교육 기관: Bhargav D

Apr 24, 2020


The first course in the specialisation that actually prompts you to write code for yourself.

Good concise introduction to TensorFlow, well written and presented content in the videos


Knowledge of ADVANCED Bash and ADVANCED SQL required for Labs otherwise the whole thing goes over your head and you just end up copying the solution from the GitHub repository.

교육 기관: Ani M

Jul 06, 2020

It was a bit challenging to write some of the Tensorflow code myself, I felt unprepared when attempting to do that although I was able to understand what was going on. This made the challenge exercises pretty intense. Also, I had some weird bugs in my Tensorflow assignments that didn't allow me to complete the last two labs really.

교육 기관: Mihir T

Jun 09, 2018

The course lacks detailed description of how to deploy your model on Cloud. The 3rd week of the course is useless. The course creators should've either concentrated on just TensorFlow for Machine Learning or should've provided detailed lectures on deployment of the Model on cloud.

교육 기관: Jeff B

Jul 18, 2018

Material was too high level. Talked more about specific examples than going through a broader understanding of the tools. It would have been helpful to start with an example, talk more about the tools themselves in detail, and conclude with a few more examples.