Simplified Notation for Sets of Vectors

Notation for a Set of Indexed Variables

Notation for a Multiset of Identical Elements

Complex Number Representation of Paired Vector Components

Consider a standard feedforward neural network architecture where the input layer is designated as layer 0. The network has two hidden layers followed by an output layer. The first hidden layer contains 8 neurons, and the second hidden layer contains 6 neurons. Within this specific structure, what does the notation $a^{[2]}_5$ represent?

Scalar Weight (W) and Bias (b) Parameters

Match each mathematical notation commonly used in neural networks to its correct description. The superscript [l] denotes the layer number, and the subscript i denotes the neuron number within that layer.

Applying Notation to a Single Neuron