Then it trains the network according to the given parameters on the training data. Once trained, the network is tested on the test data and the client passes the test results back to the server. ANNs our simply attempts at modeling some of the functionality of real, or biological, neural networks, those in the brains of humans and other animals. So perhaps this discussion should begin with biological neural networks and go from there. There are approximately 100 billion neurons in the human brain.
Some neurons have special purposes.
For example, there are special neurons for receiving visual signals and ones for receiving auditory stimulus as well. The structure of neurons themselves can best be described diagrammatically. The figure below 3 shows the basic structure of a neuron. When the impulses reach the body of the neuron, they travel towards the axon hillock, where if the sum of the strengths of the impulses reaches the threshold of the neuron, it fires. The junction between a synaptic terminal and a dendrite is known as a synapse.