Question

Q. Why do we need to do
data augmentation?
Check all that apply
A. To increase the data
samples
B. To avoid over fitting
C. To improve accuracy
D. To reduce training time​

Answer 1

Answer:

Data augmentation is a strategy that enables practitioners to significantly increase the diversity of data available for training models, without actually collecting new data. Data augmentation techniques such as cropping, padding, and horizontal flipping are commonly used to train large neural networks.

Answer 2

Answer:

c to improve accuracy plz mark me as brainliest