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What is the primary benefit of parameter sharing in convolutional neural networks ( CNNs ) ? Group of answer choices Parameter sharing reduces the computational
What is the primary benefit of parameter sharing in convolutional neural networks CNNs
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Parameter sharing reduces the computational complexity of the network by reusing the same set of weights across different layers.
Parameter sharing ensures that each neuron in the network has a unique set of weights, reducing redundancy and optimizing memory usage.
Parameter sharing reduces the computational complexity of the network by reusing the same set of weights across different parts of the input.
Parameter sharing enables the network to use more layers, allowing for a deeper architecture with fewer parameters.
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