Optimizer, Gradient Descent, Machine Learning, Adam, Sgd.
of Batch Descent, we have to send the whole batch, if it has 1 million entries, it will be computationally very inefficient. So, we need to move to something different. 2. Stochastic Gradient Descent: Here one sample of the training set is passed through the model at a time. So, the error is