Deep Learning, Linear Algebra, AI, Artificial Intelligence, Machine Learning.
data. Linear transformations, which are essentially matrix multiplications, allow the network to learn complex relationships between features in the data. Activation Functions: While linear transformations are crucial, deep learning models also employ activation functions like the sigmoid, ReLU, or