So the feedforward stage of neural network processing is to take the external data into the input neurons, which apply their weights, bias, and activation function, producing the output that is ...

Machine learning can be supervised, unsupervised, or semi-supervised. In supervised learning, models are trained on labeled data, meaning the input data is paired with the correct output.