The mathematics of artificial neural networks (ANNs) encompasses various mathematical concepts and frameworks that underlie the design, training, and functioning of these models. Here are some of the fundamental mathematical components involved in ANNs: ### 1. **Linear Algebra**: - **Vectors and Matrices**: Data inputs (features) are often represented as vectors, and weights in neural networks are represented as matrices. Operations such as addition, multiplication, and dot products are key for neural network operations.
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