Deeplearing, Computer Vision, Streamlit App Deployment, Tf Data.
to the residual on the residual architecture, very deep networks are now possible that improve denoising performance. Model has been train for 20 epochs with Adam optimizer of learning rate=0.001 and with learning rate decay of 10% per epoch and Mean Absolute Error (MAE) is used as loss function.