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返回到 Image Denoising Using AutoEncoders in Keras and Python

學生對 Rhyme 提供的 Image Denoising Using AutoEncoders in Keras and Python 的評價和反饋

85 個評分
13 條評論


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....

1 - Image Denoising Using AutoEncoders in Keras and Python 的 13 個評論(共 13 個)

創建者 Sebastian J

Apr 12, 2020

Awesome course for those who have a background in this field.

創建者 CH S

Apr 30, 2020

Clear explanation step by step. A basic Project

創建者 Aman B

May 22, 2020

This course has just the right difficulty for those who are less than intermediate in machine learning. It is fairly detailed in terms of theory and is very good in terms of hands on. I would strongly recommend this course.

創建者 Akash K

May 19, 2020

Great project to know the foundation...

創建者 Mayank S

May 06, 2020

Nicely explained , Thankyou :)

創建者 Telukunta V A

May 26, 2020


創建者 Shravani r

May 04, 2020


創建者 Himanshu S

Apr 06, 2020

Just right for me at the moment I was doing it I just needed to do a light project in which I could gain some practical skills

創建者 Aniket G

May 22, 2020

This project has helped me to build m basic well towards image processing and I would recommend this course to everyone

創建者 sairam g

May 14, 2020

Expected something from this course

but i was dissatisfied

創建者 Abhirami C S

Apr 09, 2020

good course for both beginners and freshers

創建者 Alan P

Apr 11, 2020

great hands on project

創建者 chakradhar c

Apr 30, 2020

its boring