How do you train a denoising autoencoder for image restoration in Julia

Question

Can you tell me how you train a denoising autoencoder for image restoration in Julia?

Answer 1

To train a denoising autoencoder for image restoration in Julia, you can use the Flux library. Here is the code snippet you can refer to:

In the above code, we are using the following steps:

• Model Definition: The encoder reduces dimensionality, and the decoder reconstructs the image.
• Loss Function: Use MSE to minimize reconstruction error between noisy and original images.
• Noisy Data: Create input-output pairs where the input is noisy and the target is clean.
• Training: Use a suitable optimizer to minimize the loss.
• Image Restoration: Pass a noisy image through the trained autoencoder to restore it.

Hence, this method is suitable for image-denoising tasks where the goal is to remove noise while preserving important features.