Single layer perceptron is the first proposed neural model created. The content of the local memory of the neuron consists of a vector of weights. The computation of a single layer perceptron is performed over the calculation of sum of the input vector each with the value multiplied by corresponding element of vector of the weights. The value which is displayed in the output will be the input of an activation function.
Understanding Variable scope in C++
Understanding Variable scope is very important because it can sometime leads us to unwanted value changing or hazards while coding. Like, we have declared a variable but still its showing error while compiling or running. Look at the following code, for(int x=0;x<5;x++) //For Loop 01 { cout<<“Inside For Loop 01”; } cout<<x<<” times”; … Read more