The training can be implemented by various different algorithms ... analytical solution in a feed-forward neural network with hidden units. In back-propagation, the weights and thresholds are ...
On a more basic level, [Gigante] did just that, teaching a neural network to play a basic driving game with a genetic algorithm ... With enough training, the cars are able to complete the course ...
the architecture of the QCNN significantly improves computational efficiency in both forward and backward propagation, providing strong support for the training process of deep neural networks.
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