Artificial Intelligence, Machine Learning, Deep Learning, Technology, Google.
other parameter increases. Normally, the observed power-law scaling is 1/xα, typically with 0 < α < 1. In this case, if we assume that trained models map the data into a d-dimensional data manifold, the model can make independent predictions in each component of the data manifold in order to