Parameter tuning is a critical aspect of training neural networks, significantly impacting model performance. Here are the key points to consider when discussing parameter tuning for neural networks: 1. Optimizer Selection SGD vs Adam: SGD requires careful tuning of learning rates, while Adam adapts during training, making it easier to use with default settings. 2.…