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Volver a Image Denoising Using AutoEncoders in Keras and Python

Opiniones y comentarios de aprendices correspondientes a Image Denoising Using AutoEncoders in Keras and Python por parte de Rhyme

4.3
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83 calificaciones
12 revisiones

Acerca del Curso

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....
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1 - 13 de 13 revisiones para Image Denoising Using AutoEncoders in Keras and Python

por Sebastian J

Apr 12, 2020

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

por CH S

Apr 30, 2020

Clear explanation step by step. A basic Project

por 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.

por Akash K

May 19, 2020

Great project to know the foundation...

por Mayank S

May 06, 2020

Nicely explained , Thankyou :)

por Telukunta V A

May 26, 2020

Excellent

por Shravani r

May 04, 2020

good

por 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

por 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

por sairam g

May 14, 2020

Expected something from this course

but i was dissatisfied

por Abhirami C S

Apr 09, 2020

good course for both beginners and freshers

por Alan P

Apr 11, 2020

great hands on project

por chakradhar c

Apr 30, 2020

its boring