Mathematics, Calculus, Tensor, Deep Learning, Machine Learning.
essentially matrix operations like multiplication, addition, and subtraction. Activation Functions: While linear transformations are fundamental, deep learning models also employ activation functions like the sigmoid, ReLU, or tanh. These functions introduce non-linearity into the network, allowing