Everyone knows how to train a deep learning neural network. But quickly:
We train deep learning neural networks using the gradient descent optimization algorithm, which tells us how to attain the least error for the best model performance.
This optimization algorithm estimates model error repeatedly. Now choose an error function (loss function) to determine the model’s loss so the weights can be changed and the loss minimized for the next evaluation.
You know how a deep neural network is trained. Let’s get better at it.