deblur-fashionmnist

De-noise a blurred given image using Deep Learning methods of Machine Learning like Convolutional Neural Networks.

The motivation behind creating this program is to learn the use of auto-encoders. The program is loosely based on guided project from Coursera(https://www.coursera.org/projects/autoencoders-image-denoising) taught by Ryan Ahmed.

Steps Involved

1. Load the data set
2. Take the training set and blur the images.
3. Create a CNN model.
4. Train the model using the blurred images as an input and the original images as the ground truth.
5. Test the model.

For more details, check out this article https://medium.com/@done_n_dusted/de-blurring-images-using-convolutional-neural-networks-with-code-51d3f8d7b1d7