Optimizer, Gradient Descent, Machine Learning, Adam, Sgd.
to the model together, predictions are done on the full data set and error is calculated as: So, it takes the error of all the samples in the batch and calculates the sum of all the errors. Now, due to the fact it takes in the full set together, in one epoch it updates the weights only once. Also,