Deep Learning, Linear Algebra, AI, Artificial Intelligence, Machine Learning.
between the predicted values and the actual values, and it’s typically computed as a sum of squared differences. Eigenvalues and Eigenvectors: Eigenvectors and eigenvalues, concepts from linear algebra, play a role in some deep learning algorithms. Principal Component Analysis (PCA), for example,