Deep Learning, Image Processing, Convolutional Network, Machine Learning, Artificial Intelligence.
classification network to be input rotation invariant, where, regardless of the change in the input tilt, the predicted class does not change. Invariance is also often related to robustness to noize — the ability of the model to maintain high performance even on corrupted inputs. On the other hand,