Neural Network Visualization

Part of Advances in Neural Information Processing Systems 2 (NIPS 1989)

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Jakub Wejchert, Gerald Tesauro


We have developed graphics to visualize static and dynamic infor(cid:173) mation in layered neural network learning systems. Emphasis was placed on creating new visuals that make use of spatial arrange(cid:173) ments, size information, animation and color. We applied these tools to the study of back-propagation learning of simple Boolean predicates, and have obtained new insights into the dynamics of the learning process.