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返回到 End-to-End Machine Learning with TensorFlow on GCP

End-to-End Machine Learning with TensorFlow on GCP, Google 云端平台

4.5
253 个评分
44 个审阅

课程信息

In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization (https://www.coursera.org/specializations/machine-learning-tensorflow-gcp). One of the best ways to review something is to work with the concepts and technologies that you have learned. So, this course is set up as a workshop and in this workshop, you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform Prerequisites: Basic SQL, familiarity with Python and TensorFlow >>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<...

热门审阅

创建者 KT

Oct 07, 2018

A very helpful course, we were able to practically apply all the knowledge we received from the First Specialization. I feel much more confident to do ML after this course!

创建者 SK

Oct 15, 2018

Excellent opportunity to learn ML for real world applications. Every one will get the benefit after completion of the course. Thanks for providing such a nice course.

筛选依据:

44 个审阅

创建者 Grzegorz Gornicki

Feb 12, 2019

Labs are not working. I'm getting 'access to the resource denied' error

创建者 vincent poncet

Feb 06, 2019

Needs more explanations about the performance.

I do not understand why processing is so slow.

it is dozens of minutes or even more than 1 hour to process a few gigabytes.

Datalab takes more than 5 minutes to start, why ?

创建者 Jayasudan Munsamy

Jan 28, 2019

Awesome refresher course!

创建者 Amit Kumar

Jan 20, 2019

Got good insight about the data pre-processing, training the model and deploying it on ML Engine

Overall experience with the lab was fantastic

创建者 Ian Quah Tun Chern

Jan 19, 2019

Exactly what it says. Labs are trivial and I felt like I didn't learn much other than how to use the interface for serving and taking a model from start to finish. The core concepts are useful both in GCP and if you decide to roll your own stack

创建者 bhadresh savani

Jan 13, 2019

It was great course which converses entire ml learning journey

创建者 arnaud konan

Jan 09, 2019

Overall this is a very well structured and well delivered course i learned a lot from it.

But I couldn't reproduce some of the examples on local machine so 4 stars for now.

创建者 Sushrut Ashtikar

Jan 06, 2019

This course is awesome

创建者 Lloyd Palum

Jan 01, 2019

The qwiklabs interface to GCP is a little cumbersome. The need to start and stop sessions with each lesson wastes some time. I would prefer if the course came with a GCP credit and we were able to use our own accounts and still have a way to keep track of progress,..

创建者 Rajdeep Arora

Dec 30, 2018

This is the best end to end deep learning course available over internet. Delivery of the concepts and labs are the major highlights.