DL Notes: Gradient Descent | Towards Data Science
Artificial Neural Networks (ANNs) are universal function approximators. They can approximate any complex function if provided with enough data, have a proper architecture, and are trained for enoug...
Source: Towards Data Science
Artificial Neural Networks (ANNs) are universal function approximators. They can approximate any complex function if provided with enough data, have a proper architecture, and are trained for enough time. But what does "training" a network even mean? In a previous post about the feedforward process, I mentioned that training a network means adjusting the value […]