Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks.

A neural network is essentially a complex math function. The neural network input-output mechanism is illustrated in Figure 2. The figure shows a simple neural network regression system with three ...

Deep neural networks can solve the most challenging problems, but require abundant computing power and massive amounts of data.

The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could.

Reversible synaptic plasticity between sensory neurons and interneurons, switching between inhibitory and excitatory, underpins the neural basis of salt concentration memory-dependent preference ...