Photo by Bekky Bekks on Unsplash

For better understanding, this post is divided into three parts:

Part 1: GAN, Autoencoders: UpSampling2D and Conv2DTranspose

In this part, introductory part and I will discuss some basic terms and processes used in this tutorial. This will help us to get the concept and better understand the other parts of this tutorial.

Part 2: Denoising image with Upsampling Layer

This part will demonstrate how we can use upsampling method for denoising an image from their input. This part will be implemented using the notMNIST dataset.

Part 3: Denoising image with Transposed Convolution Layer

This part is similar to the previous…

Ashrafur Rahman

Data Science Enthusiast

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