# Description The following dimensions are considered highly relevant in neural networks: - **Input Layer Dimension:** This is invariably associated with the number of features considered from the dataset. - **Output Layer Dimension:** The output layer of a neural network is defined by the number of classes and the encoding method used to represent them. - **Topology and Dimension of the Hidden Layer(s):** The configuration and size of the hidden layers are critical to the network's ability to learn complex patterns from the data. --- ## References - [[Deep learning - Anna Bosch Rué Jordi Casas Roma Toni Lozano Bagén]]