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學生對 IBM 提供的 AI Capstone Project with Deep Learning 的評價和反饋

4.4
160 個評分
25 條評論

課程概述

In this capstone, learners will apply their deep learning knowledge and expertise to a real world challenge. They will use a library of their choice to develop and test a deep learning model. They will load and pre-process data for a real problem, build the model and validate it. Learners will then present a project report to demonstrate the validity of their model and their proficiency in the field of Deep Learning. Learning Outcomes: • determine what kind of deep learning method to use in which situation • know how to build a deep learning model to solve a real problem • master the process of creating a deep learning pipeline • apply knowledge of deep learning to improve models using real data • demonstrate ability to present and communicate outcomes of deep learning projects...

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RB

May 23, 2020

A very nice project based course to get hands on experience with deep learning\n\nand transfer learning.

SK

May 07, 2020

The Course is good, The labs were crashing which were causing lot of issues in completing the course

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1 - AI Capstone Project with Deep Learning 的 25 個評論(共 25 個)

創建者 Jeremiah J

Feb 24, 2020

I guess the course was OK, but the complete limitations of the "provided" compiling environment is inexcusable. I tried five different emulators, eventually using Google's Colab tool in order to get any type of results within six hours. I don't know what you can do, but something needs to be done.

Also, I would recommend NOT having two different tracks (Keras & Pytorch). Because of the aforementioned coding issues, most of the real instruction occurs in the discussion forum. It is INCREDIBLY confusing when there are essentially two different assignments posting questions in the same space. Also, can you do something about all my "classmates" asking for people to review their work in the forum? In my opinion, that is NOT the purpose of the discussion forum. As the admins, can you please just delete those requests to make it easier to find the REAL discussions. You are smart computer scientists, can't you create an AI to filter all those posts into the bit-bucket?

創建者 Eric

Jan 29, 2020

Course opened late. One instructor did not prepare his materials and the exercises were not even accessible. I will not be purchasing from Coursera in the future because of this specialization course. Truly a huge waste of money.

創建者 Hernán C

Apr 02, 2020

Its takes to long to train the models (6 hours each case). I was lucky because some students give me de advice to use google Free GPU to complete the each train in 2 minutes. Without the students tips It is impossible.

I suggest to add to this course information about to use either cuda with own local jupyter lab or either recommend some serice like googel colab to get better performance.

創建者 Lam C V D

Feb 20, 2020

But need to study extra as these topics are not taught like Transfer Learning

創建者 Bhaskar N S

Apr 04, 2020

Most of this course is lab-work. However, the lab environment was inadequate. It kept crashing, disconnecting, or went to slow. While I understand that the Lab is a 3rd party tool, my payment was made to Coursera, hence they need to help ... at least by extending access for the lost time.

創建者 Ravi P B

May 23, 2020

A very nice project based course to get hands on experience with deep learning

and transfer learning.

創建者 Sarath C G K

May 07, 2020

The Course is good, The labs were crashing which were causing lot of issues in completing the course

創建者 Branly F L

May 15, 2020

Excellent work from the teachers, thanks for your efforts.

創建者 Sanchit K

Apr 04, 2020

Please labs are not so good. Please improve it.

創建者 Amine M B

May 09, 2020

Very interesting and helpful

創建者 Suprakash S

May 11, 2020

Excellent course!

創建者 Christos

Feb 25, 2020

Challenging!!

創建者 Carlos F C d S e S

Mar 26, 2020

Thank you!

創建者 Alvaro A B A

Apr 06, 2020

Excelent

創建者 Claudia S

May 17, 2020

For the Keras part, it would be desirable if "clean" zip files were provided for week 2 to week 4 exercises, since they contain the MacOSX folder (which I think it is not required for the exercises). Also for Keras, it might be helpful if any other example could be found, since I do not think that using models which take that many hours (35 hours in Cognitive AI site / 8 hours in Google Colab) contribute in any way to the learning process. Or at least adjust them to use one epoch, like the Pytorch exercises

創建者 Daniel J B O

May 27, 2020

I like the flexibility to pick our framework for the project i wish the kers one were a little bit more challenging

創建者 Thar H S

Mar 27, 2020

Thank a lot for creating this course. It really useful and practical for me.

創建者 charles l

Feb 24, 2020

This course was riddled with operational flaws regarding the image data, and how it operated in the IBM framework. At one point I was not able to run the labs with either PyTorch or Keras versions, and eventually just downloaded the notebooks and ran them in Google Colab to complete the specialization.

創建者 Yinias

Feb 06, 2020

The data from the course is not well prepared, some invalid pictures in the data. And also sometimes the IBM platform can not run the training well, loss connection and need several hours of time for training the model...

創建者 Alexis b

Mar 24, 2020

This is a good enough project if it is your first Pytorch implementation. However, the program is unevenly difficult, with very few information for week3 assignment, and almost copy/paste assignment for week4.

創建者 Reinaldo L N

Feb 04, 2020

The docker environment by IBM is horrible. I just got to finish my course running all the notebooks locally (except for those at the Watson environment)

創建者 Lee Y Y

Feb 09, 2020

Not well-prepared materials in Keras, especially in Week 3 (model-training) which took more than 3 hours to training and even not successfully.

創建者 Denis U

May 11, 2020

Is this really a professional certification ? Right now I don't think so. These tasks are for very very beginners. Not for professionals..

創建者 Nopthakorn K

Feb 10, 2020

Capstone project had delayed for a month, and after that the course resource also not ready.

創建者 Mriam A

Apr 03, 2020

the keras part was totally ignored