Re train a saved model with same Dataset
If you are using keras, basically calling fit will start from pre-existing weights and therefore the first epoch will consist of the 5th epochs. Therefore, the error will already be lower. However, beware that the processing time for each epoch will be equivalent. You will only start from a model which do not have random weights.
I want to know if i retrain my saved model which i ran with 4 epochs, be faster with same image set at 10 epochs?
My data set consists of 2 folders of training and validation with 5 classes and 3000 training and 1000 validation images