A. Best practices for building and training neural networks with TensorFlow or Keras include data preprocessing(normalize and augment), choosing appropriate model architecture, incorporating regularization techniques(dropout, batch normalization), experimenting with optimizers and learning rates , and monitoring and tuning hyperparameters regularly.