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The bias of a neuron is determined by the activation values of the neurons in the previous layer.

Training a neural network only changes the values of the weights at the connections between neurons.

A single-layer perceptron is NOT a neural network.

The input layer of a deep neural network must have at least as many neurons as its output layer.