A scattering transform builds invariant, stable and informative signal representations for classification. It is computed by scattering the signal information along multiple paths, with a cascade of wavelet modulus operators implemented in a deep convolutional network. It is stable to deformations, which makes it particularly effective for image, audio and texture discrimination. This Web page provides short explanations, pointers to papers and softwares for applications to image and audio classification.