Linear algebra for deep learning: Deep Learning course | Zoonk
4. Linear algebra for deep learning
Use vectors, matrices, dot products, matrix multiplication, norms, projections, and eigenvalues to describe neural network computations. Connect each operation to transformations of real data.
