How to use Data Scaling Improve Deep Learning Model Stability and Performance - MachineLearningMastery.com

Deep learning neural networks learn how to map inputs to outputs from examples in a training dataset. The weights of the model are initialized to small random values and updated via an optimization algorithm in response to estimates of error on the training dataset. Given the use of small weights in the model and the […]