Computational Physics, Python, Linear Algebra, Svd, Code.
Descent (SGD) It is an incredibly useful optimization method ( it is also the heart of deep learning since used for backpropagation) We evaluate the loss using all our data for standard gradient descent, which is slow. In stochastic gradient descent, we evaluate our loss function on just a sample