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.
Garbage Collection
Garbage collection. What you get from the title of the topic? Well, while we are coding we use variable or memory location. We may need an array initially for storing some initial elements, then we take more arrays while we are manipulating. At some part of the manipulation, it may that we dont need the … Read more