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A fully connected neural network comprising of 8 neurons (neuron1 to neuron8) is...
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A fully connected neural network comprising of 8 neurons (neuron1 to neuron8) is presented with a batch of 10 instances. The first 3 neurons in the network are sensing neurons (neuron1, neuron2 and neuron3). The next 3 neurons in the network are hidden layer processing neurons (neuron4, neuron5 and neuron6). The last 2 neurons in the network are output neurons (neuron7 and neuron8). The notation for representing the weights is w(n(l),n(l-1)), where l is the layer number, n(l) represents the number of a node in layer l and n(l-1) represents the number of a node or bias in layer l-1. Which of the following weights do not exist in this network? Select all that apply. Negative marking will be used for incorrect answers.
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