Mathematics, Calculus, Tensor, Deep Learning, Machine Learning.
synthesis, and style transfer. 5. Information Theory: Entropy and Cross-Entropy: Information theory concepts, such as entropy and cross-entropy, are central to loss functions used in deep learning. They quantify the information content and dissimilarity between probability distributions. Beyond