This thorough and professional book describing in detail the contribution of statistical physics to learning theory as it has been applied to neural networks during the past decade. Its major theme is the extension of the techniques developed for random magnetic systems, such as the replica method, to obtain quantitative results for the computational capabilities of various feedforward networks.