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Вернуться к Image Denoising Using AutoEncoders in Keras and Python

Отзывы учащихся о курсе Image Denoising Using AutoEncoders in Keras and Python от партнера Coursera Project Network

4.5
звезд
Оценки: 260
Рецензии: 42

О курсе

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....

Лучшие рецензии

AM
21 июля 2020 г.

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

SK
10 июля 2020 г.

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

Фильтр по:

1–25 из 42 отзывов о курсе Image Denoising Using AutoEncoders in Keras and Python

автор: CH S

30 апр. 2020 г.

Clear explanation step by step. A basic Project

автор: Rojesh M S

13 июня 2020 г.

I find the content quite basic, one can simply follow the tutorials on Tensorflow.

автор: Sebastian J

12 апр. 2020 г.

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

автор: RAFI K

11 июня 2020 г.

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.

автор: chakradhar c

30 апр. 2020 г.

its boring

автор: Aman B

22 мая 2020 г.

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.

автор: Aditya M

22 июля 2020 г.

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

автор: Samudrala C K

10 июля 2020 г.

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

автор: Suraj D K

16 янв. 2021 г.

Good introductory case-study to learn about image denoising using neural networks!

автор: Sergio L

23 июня 2020 г.

Excelente, muy práctico y me dio una idea muy clara de como utilizar Keras

автор: haider a

14 окт. 2020 г.

He is far better than other teachers in coursera guided projects section

автор: Akash K

19 мая 2020 г.

Great project to know the foundation...

автор: JOSE L S J

14 июля 2020 г.

Adorei! Bem prático e informativo.

автор: Maria C

11 июня 2020 г.

I just learnt a ton in an hour

автор: Mayank S

5 мая 2020 г.

Nicely explained , Thankyou :)

автор: M V

1 дек. 2020 г.

Awesome course, learnt a lot.

автор: Gangone R

4 июля 2020 г.

very useful course

автор: Md. A A M

3 авг. 2020 г.

Nicely Done.

автор: Abhinav T

26 мая 2020 г.

Excellent

автор: Santiago G

3 сент. 2020 г.

thanks!

автор: d s

22 июня 2020 г.

gfytfyf

автор: SAADURYA K V S

5 июля 2020 г.

nice

автор: p s

27 июня 2020 г.

Nice

автор: Vajinepalli s s

18 июня 2020 г.

nice

автор: tale p

18 июня 2020 г.

good