This is a small project I worked on which shows the denoising the images, we artificially add noise to the dataset and train the model and evaluate
In this project we follow the following steps:
- Import the required libraries
- Load the Fashion_Mnist dataset from keras datasets
- Then we do some data visualization
- Then we make all the values in the array either 1 or 0
- Then we create noise_factor and apply noise to entire training and test dataset
- Further we create our sequential model and fit the model
- Then last step we evaluate the model and predictions