Introduction What is auto-decoder? A unsupervised method Application For noise removal Dimensiona| reductⅰon Method Use noise- free ground truth data(e.g MNIST)+ self generative noise to train the network The final network can remove noise of input corrupted by noise(e.g. hand written characters), the output will be similar to the ground truth data Ch10. Auto and variational encoders v.9r6Introduction • What is auto-decoder? – A unsupervised method • Application – For noise removal – Dimensional reduction • Method – Use noise-free ground truth data (e.g. MNIST)+ self generative noise to train the network – The final network can remove noise of input corrupted by noise (e.g. hand written characters), the output will be similar to the ground truth data Ch10. Auto and variational encoders v.9r6 4