Chapter 2 Perceptron
2.1 What is a perceptron?
The perceptron receives multiple input signals and outputs a signal.
The signal from the perceptron will form a stream, transporting information forward.
The signal of the perceptron only has two values: "flow/no flow" (1/0).
In this study note, 0 corresponds to "not transmitting a signal" and 1 corresponds to "transmitting a signal".
In the figure ,
is the input signal,
is the output signal,
and
is the weight. The ones in the graph
are called "neurons" or "nodes".
When the input signal is sent to the neuron, it will be multiplied by a fixed weight ( ,
) respectively. The neuron will calculate the sum of the transmitted signals, and only when the sum exceeds a certain limit, it will output 1. This is called "the neuron is activated".
This limit value is called the threshold value here and is represented by a symbol.
Express the above content using mathematical formulas, as follows:
The larger the weight, the higher the importance of the signal corresponding to that weight.
The weight is equivalent to the resistance in current. Resistance is a parameter that determines how difficult it is for electric current to flow.
The lower the resistance, the greater the current that passes through it. The greater the weight of the perceptron, the greater the signal that passes through.
2.2 Simple logic circuit
2.2.1 AND gate
AND Gate: A gate circuit with two inputs and one output.