Denoising Autoencoders (dA) — DeepLearning 0.1 documentation

Note This section assumes the reader has already read through Classifying MNIST digits using Logistic Regression and Multilayer Perceptron. Additionally it uses the following Theano functions and concepts: T.tanh, shared variables, basic arithmetic ops, T.grad, Random numbers, floatX. If you intend to run the code on GPU also read GPU. The Denoising Autoencoder (dA) is an extension of a classical