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返回到 Image Denoising Using AutoEncoders in Keras and Python

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

269 个评分


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 21, 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 10, 2020

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


1 - Image Denoising Using AutoEncoders in Keras and Python 的 25 个评论(共 43 个)

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