Hands-On One-shot Learning with Python

Comparing human neurons and artificial neurons

Though the human neuron has been the inspiration for creating artificial neural networks, there are several ways in which they are dissimilar. Researchers are trying to bridge these gaps by experimenting with different activation (excitation) functions and non-linear systems. Similar to how our brain has a collection of neurons that transmit and process the information received from our senses, a neural network also consists of layers (a group of neurons) that learns about tasks by transmitting information across layers. In certain cases, we can say an artificial neuron works in a similar way to a neuron present in our brain. Let's look at the following diagram:

As we can see in the preceding ...