When training neural networks, the decision of whether to feed the dataset in full or in batches is a important one with significant implications on the efficiency and effectiveness of the training process. This decision is grounded in the understanding of the trade-offs between computational efficiency, memory usage, convergence speed, and generalization capabilities. Full Dataset