Data Science, Loss Function, Machine Learning, Neural Networks, TensorFlow.
that compares the target and predicted output values; measures how well the neural network models the training data. When training, we aim to minimize this loss between the predicted and target outputs. The hyperparameters are adjusted to minimize the average loss — we find the weights, wT, and