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

Consistent Predictive Power The upper chart in Figure 2 shows performance improvements against the 15-day moving average, which we call historic model. The Adaptive Volume Model provides significant ...

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 ...

Deep learning uses neural networks that have a large number of “hidden” layers to identify features. Hidden layers come between the input and output layers. The more layers in the model, the ...