To determine how many times the weights get updated during backpropagation, you can use the formula:
Weight updates = (Number of batches per epoch) × (Number of epochs)
Let's say we have a dataset of 1000 rows, and when a batch size of 10 and epoch of 10 is applied to this data, how many times do the weights get updated during the back propagation.
Dataset size = 1000 rows
Batch size = 10
Epochs = 10
Step-by-step:
Batches per epoch = 1000 / 10 = 100
Epochs = 10
Total weight updates = 100 batches/epoch × 10 epochs = 1000
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