publications
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| Notable achievements: | Notable achievements: | ||
| - | * 1986: Deep Neural Networks were first used for my [[#mphil86|MPhil thesis]] - these had the form o_i = f(\sum_n^i-1 w_ij o_j) and so were very deep having only one unit per layer, yet trained well as they had skip connections stretching back to the input. | + | * 1986: Deep Neural Networks were first used for my [[#mphil86|MPhil thesis]] - these had the form o_i = f(\sum_n^i-1 w_ij o_j) and so were very deep having only one unit per layer, yet trained well as they had skip connections stretching back to the input. |
| + | * 1987: Real Time Recurrent Learning was first published in (https://papers.nips.cc/paper/42-static-and-dynamic-error-propagation-networks-with-application-to-speech-coding) and later by | ||
| + | R. J. Williams and D. Zipser. A learning algorithm for continually running fully recurrent neural networks. Neural Computation, | ||
| + | 1(2):270–280, June 1989. ISSN 0899-7667 and Barak Pearlmutter. | ||
| Full list: | Full list: | ||