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Initialization is particularly important in neural networks.

Initialization is particularly important in neural networks. Correct Answer True

Initialization is particularly important in neural networks because of the stability issues associated with neural network training. In neural networks, weights represent the strength of connections between units in adjacent network layers, and initializing the weights improperly can lead to vanishing or exploding gradient problem.

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