学生对 Google Cloud 提供的 Machine Learning in the Enterprise 的评价和反馈
课程概述
热门审阅
SG
Sep 11, 2018
A lot of core neural network topics were presented in a productive way and I particularly liked the LAB showing how to write custom estimators.
CK
Feb 14, 2019
Very interesting course! Specifically the last modules with custom estimators and the ability to create estimators straight from Keras!
126 - Machine Learning in the Enterprise 的 135 个评论(共 135 个)
创建者 Yakov F
•Oct 18, 2022
All eight labs had defects/ bugs. In four (4) labs the defects prevented me from completing the labs. There was no waiting to contact Google cloud support by chat, but the best the representative was able to do was to give Coursera credit for the unfinished lab, rather than to help find and fix the defect in the lab.
创建者 Pablo I F
•Aug 5, 2020
Very bad english subtitles. For non-english speakers, the subtitles doesn't help, but it confuse what the teacher is explaining. It takes me a lot of time to understand some parts of the course
创建者 Mike W
•Jun 22, 2019
The notebook based demos are unfortunately pretty useless as labs. All of these courses would be much improved with real labs that require the student to build the system.
创建者 Arman A
•Apr 11, 2019
Pros: Tensorflow is an excellent framework for deep learning
Cons :
1- The way this material is designed is 10 X SHIT
2- Either teach properly or don't teach at all.
创建者 Mohannad B
•Aug 13, 2020
A lot of inaccurate data, please check deep learning ai specialization for more accurate info. this is good for introducing you to GCP not the concepts of AI
创建者 Ibrahim G
•Jun 30, 2024
One of the most low effort things I have seen. The labs don't teach much, as you just go through notebooks, the videos are bad powerpoint presentationas.
创建者 Dakam P
•Jan 31, 2024
Sorry, could not sign in [Sorry, invalid consumer_key [3d293cee...].].
创建者 KONSTANTIN Z
•Mar 27, 2023
Too much obvious info. Waste of time
创建者 Radha M K V
•Dec 29, 2019
Very redundant and superficial.
创建者 man c y
•Jun 26, 2019
poor labs