Machine Learning, Deep Learning, Gradient Descent, Neural Networks, Learning Rate.
Even if a different dataset shifts the loss function a little, the loss would stay relatively stable: Image 8: Slight shift in loss function doesn’t impact loss as much This flatter trough is better as it offers both an accurate and stable solution. It is more generalized; that is, it has a higher