Deep Learning, Pytorch, Fine Tuning, Computer Vision, Transfer Learning.
in response to the calculated gradients during backpropagation. Choosing an appropriate learning rate is crucial, as setting it too high may cause the optimization process to oscillate or diverge or overshoot the optimal solution, while setting it too low may result in slow convergence or getting