We give an overview of the main facts on supervised and unsupervised learning in networks of linear units and present several new results and open questions. In the case of back-propagation, the complete structure of the landscape of the error function and its...
CITATION STYLE
Baldi, P., Chauvin, Y., & Hornik, K. (1990). Supervised and Unsupervised Learning in Linear Networks. In International Neural Network Conference (pp. 825–828). Springer Netherlands. https://doi.org/10.1007/978-94-009-0643-3_99
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