Please answer the question
1 and trained the model for epoc 15. (10 points) Now that you have split the small train data into various subsets as shown in Figure 20. Figure 2 show the model accuracy for training and validation. (a) If validation accuracy falls after a few epoch (in this case į 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?
Training and validation accuracy 1.00- Training acc Validation acc 0.95 0.90 0.85 0.80 12.5 15.0 17.5 20.0 2.5 5.0 7.5 10.0 Epochs Figure 2: Validation loss when using samples size=1,000 (small) Loss
1 and trained the model for epoc 15. (10 points) Now that you have split the small train data into various subsets as sh
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answerhappygod
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1 and trained the model for epoc 15. (10 points) Now that you have split the small train data into various subsets as sh
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