Given a dataset with 1500 samples and a batch size of 50, how many iterations will be required to complete one epoch?

Suppose we trained an MLP for 100 epochs with PyTorch. When creating the Dataloader, we set the batch size to be 40 and other parameters have been set to default. We know that it has generated 30 batches in total. After training completed, how many samples has the model been trained with in total? (Consider the same samples fed during different epochs as different samples. i.e., if we only have 1 sample and the model has been trained for 10 epochs, the answer will be 10.) Choose the most accurate range.

In Salesforce, what is the maximum number of records that can be processed in a single execution of a batch class?

all the epochs

____________is the number of times the algorithm runs on the whole training dataset.BatchEpochLearning rateCost function

Feedback:Think about the formula to calculate the optimum no of batches and try again.