Machine learning deals with software systems capable of changing in response to training data. A prominent style of architecture is known as the neural network, a form of so-called deep learning ...

The modification of weights and biases in neurons is the essence of neural network machine learning. Note that I am intentionally avoiding the details of loss functions and how weights and biases ...

The benchmark tests, called Inference 2.1, represent one half of the machine learning approach to AI, when a trained neural network is fed new data and has to produce conclusions as its output.