Evaluating the Impact of Network Depth and Bottleneck Capacity on MNIST Denoising
About this project
Deep dive into Denoising Autoencoders using MNIST. I tested 9 models to see how depth and PCA-based bottlenecks affect cleanup. Higher depth made sharper images but higher MSE—a classic perception-distortion tradeoff.