Although neural networks have been studied for decades, over the past couple of years there have been many small but significant changes in the default techniques used. For example, ReLU (rectified ...

Back-propagation is the most common algorithm used to train neural networks. There are many ways that back-propagation can be implemented. This article presents a code implementation, using C#, which ...

For example, TensorFlow supports Nvidia CUDA cards only. But you can still use the GPU for your own custom neural network code. Various links are in the comments for that too.

There’s tinn — the tiny neural network. If you can compile 200 lines of standard C code with a C or C++ compiler, you are in business. There are no dependencies on other code.

In the example presented in the video below, we use a network with three convolutional layers where we removed non-linear elements.

A new neural network could help computers code themselves The tool spots similarities between programs to help programmers write faster and more efficient software.

It's the complexity of neural networks that seems to confuse people. The many layers and the nodes in each layer makes explanations difficult, especially since many coders don’t want to explain ...