All the neurons in a convolution layer have different Weights and Biases.
True
False
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All the neurones in a convolution layer different weights and biases you question in the above statement is false this because it is not permanent that weights and biases a different because the varies.
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All the neurons in a convolution layer have different Weights and Biases is true. Because all the neurons in the convolution layer differ in weight and biases and are never same.
It can also vary in time. Mostly the convolution layer is used for image processing and also has connections with the previous layers. Their respective field size and the location also varies systematically.
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