L1 Regularization, L2 Regularization, Regularization, Early Stopping, Dropout.
dropout randomly deactivates a fraction of neurons in each layer. This simulates training multiple neural networks in parallel, forcing the model to be more robust and preventing it from relying too heavily on any one neuron. Think of it as a team of experts. In each meeting (epoch), a random