In fact, everyone has said that they would recommend our courses to friends. We average a score of 4.6 of 5 when attendees are asked to rate the overall quality of the course. One of the points emphasized during our neural network course is the importance of generalization. One cause of this poor generalization is overtraining. One way to reduce the number of weights in the neural network is using a technique called weight decay.
Weight decay subtracts a small amount from each weight each time it is updated.
If the weight is not relevant, it eventually moves to zero. The decay rate of the weight decay algorithm can be adjusted from the DLL page of the inspector. Lower decay rates decrease this effect, with a decay rate of zero being equivalent to the normal Step component. This is just an example of the type of functionality that can be implemented using DLL s. Many components, like the GradientSearch components, can be replaced with DLL s to implement new functionality.