Deep Learning, Linear Algebra, Neural Networks, Machine Learning, Artificial Intelligence.
and eigenvectors of the data covariance matrix. It uncovers the most informative directions in the data, allowing for compact representations and noise reduction. PCA finds applications in image compression, facial recognition, and more. Mathematics in Convolutional Neural Networks (CNNs)