Consider the multivariate nonparametric regression model. It is shown that estimators based on sparsely connected deep neural networks with ReLU activation function and properly chosen network ...

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

The Data Science Lab Neural Network Regression from Scratch Using C# Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction ...

Assuming that a smoothness condition and a suitable restriction on the structure of the regression function hold, it is shown that least squares estimates based on multilayer feedforward neural ...

Supervised machine learning, or supervised learning for short, includes classification algorithms such as neural networks, gradient boosting, Random Forest, Naïve Bayes, Support Vector Machines ...

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural ...