Our resident data scientist explains how to train neural networks with two popular variations of the back-propagation technique: batch and online. Training a neural network is the process of ...

Neural networks have enjoyed several waves of popularity over the past half century. Each time they become popular, they promise to provide a general purpose artificial intelligence–a computer that ...

If you’ve dug into any articles on artificial intelligence, you’ve almost certainly run into the term “neural network.” Modeled loosely on the human brain, artificial neural networks enable computers ...

Neural network dropout is a technique that can be used during training. It is designed to reduce the likelihood of model overfitting. You can think of a neural network as a complex math equation that ...

We’re going to talk about backpropagation. We’re going to talk about how neurons in a neural network learn by getting their math adjusted, called backpropagation ...

The most advanced Granite 4 model, Granite-4.0-H-Small, includes 32 billion parameters. It has a mixture-of-experts design ...

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