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学生对 Coursera Project Network 提供的 Image Denoising Using AutoEncoders in Keras and Python 的评价和反馈

221 个评分
31 条评论


In this 1-hour long project-based course, you will be able to: - Understand the theory and intuition behind Autoencoders - Import Key libraries, dataset and visualize images - Perform image normalization, pre-processing, and add random noise to images - Build an Autoencoder using Keras with Tensorflow 2.0 as a backend - Compile and fit Autoencoder model to training data - Assess the performance of trained Autoencoder using various KPIs Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....



Jul 22, 2020

My Cloud access was denied after a certain time.. I had to do the coding all over again in my notebook. Rest was good.


Jul 11, 2020

Clear explanation of auto encoders. This guided project was just right to get a good understanding of the topic


26 - Image Denoising Using AutoEncoders in Keras and Python 的 31 个评论(共 31 个)

创建者 Alan P

Apr 11, 2020

great hands on project

创建者 aithagoni m

Jun 10, 2020


创建者 Aditya K S

Jun 02, 2020

I faced a lot of problem in doing the course on the Rhyme platform.

It took very long to load and either the Cloud PC was not working or the video of the instructor.

Maybe it was due to low network bandwidth but still this was a major problem I faced, rest all was good.

创建者 Sabina T

Jun 02, 2020

Good Project. Would like to see more projects using different kinds of Autoencoders.

创建者 Rafi K

Jun 11, 2020

Rhyme is getting worse with each course I take. On the first course, it was somewhat manageable but on the next one it was horrible, and with this one, I could barely go through the course. Really disappointed.

创建者 chakradhar c

Apr 30, 2020

its boring