Mathematics, Calculus, Tensor, Deep Learning, Machine Learning.
Model Parameters: Neural network weights and biases are also represented as tensors, making it possible to perform efficient, parallelized computations. Advanced Mathematics in Deep Learning 4. Probability and Statistics: Bayesian Deep Learning: Probabilistic models and Bayesian inference are