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TensorFlow 소개(으)로 돌아가기

Google 클라우드의 TensorFlow 소개 학습자 리뷰 및 피드백

4.4
별점
2,413개의 평가
288개의 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

VC

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.

DW

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 286개 리뷰 중 226~250

교육 기관: Santiago H

Jun 19, 2020

The course focuses a lot on boilerplate code rather than concepts, the labs are too broad and don't focus on learning specific topics about TensorFlow.

교육 기관: franco g

Dec 30, 2019

Conceptually, it was a good introduction to tensorflow. Labs were not introductory labs, there was heavy coding, and a few errors in the instructions.

교육 기관: Miguel A F M

Feb 25, 2019

Los laboratorios eran demasiado restrictivos, para poder crear un "bucket" requería de un permiso adicional y la práctica la tuve que abandonar.

교육 기관: brian t

Feb 13, 2019

The first week is okay. Mostly a waste of time if you want to learn tensorflow however--it's really just a huge ad for Google Cloud Services.

교육 기관: Adrian H

Apr 28, 2020

Good basic intro. I now understand what tensor flow is! But the second half tails off and is a bit disappointing. Some labs need updationg.

교육 기관: Yuri S

May 19, 2020

There is little to no visual illustration on how data structures get sequentially transformed with various estimator API functions.

교육 기관: Jos Q

Jun 05, 2020

Started very well but got quite confusing towards the end. I would not be able to produce the code in the last lab myself.

교육 기관: TEJ P A

May 04, 2020

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

교육 기관: 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.

교육 기관: Saloni B

Jul 23, 2019

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

교육 기관: Minh L L

Mar 28, 2020

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

교육 기관: Kevin D B

Dec 03, 2019

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

교육 기관: Daniel J

Jan 22, 2020

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

교육 기관: Roger S P M

Jun 07, 2019

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

교육 기관: Juan F B D

Jan 16, 2019

VARIOS LABORATORIOS ESTAN DESACTUALIZADOS EN LA EXPLICACION HACIENDO TEDIOSO SEGUIRLOS

교육 기관: Benjamin F

Apr 05, 2020

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

교육 기관: Hemil P

Nov 03, 2018

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

교육 기관: Nishant P

Jun 08, 2019

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

교육 기관: Krishna K K

Jul 26, 2019

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

교육 기관: Pedro F

Mar 06, 2019

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

교육 기관: José C L A

Apr 29, 2020

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

교육 기관: Francis

May 02, 2019

Exercises are sometimes disconnected from the theory.

교육 기관: Bikram G

Jun 11, 2020

Very Basic course.Get an Introduction Knowledge!

교육 기관: Matthew F

Apr 07, 2020

Not enough training in small bit sized steps

교육 기관: Devashish L

Mar 18, 2019

hard to understand had to re watch a lot