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by marmakoide
1100 days ago
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In the early 2000's, it was believed that the topology of a neuron network was a major factor to get it to work well, and that throwing more neurons and computing power alone would not suffice. In a sense it was not wrong : convolutional nets were an early example of neuron network topology that enforced translation invariance while being parsimonious in tunable parameters. An other factor was that SVM were all the rage back then, because they had nice math and fitted the computational resources of a contemporary workstation. |
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