Learn about the use of incremental updates and methods for tuning convergence for optimal model performance. Explore convolution and its role in ensuring that neural networks are invariant with respect to target pattern location and also how shared parameters decrease computational complexity, leading to model performance gains. https://www.tgtodata.com/