- D Dataset Partitions Figure 1 A Step By Step Guide To Training A New Dataset 14 10 Points A Figure 1 Label The P 1 (87.61 KiB) Viewed 26 times
D Dataset Partitions. Figure 1: A step-by-step guide to training a new dataset 14. (10 points) (a) Figure 1: Label the partitions appropriately. (b) Give a brief explanation of each one in terms of preparing a dataset with 1,000 training samples. (c) Given the batch size of 128 how many iterations are necessary to cover the entire training set? (d) For epoch = 5, how many loops are done including steps c and d during gradient descent calculations? 15. (10 points) Now that you have split the small train data into various subsets as shown in Figure 1 and trained the model for epoc=20. Figure 2 show the model accuracy for training and validation. (a) If validation accuracy falls after a few epoch (in this case, 2) then what is this called in deeplearning literature? (b) What are the two techniques you can use to change the input data randomly to increase validation accuracy?