NEURAL NETWORKS
Neural networks are a type of machine learning algorithm inspired by how the human brain works. As the name suggests, neural networks consist of many neurons that are connected and communicate with each other. Each neuron in the neural network receives input from the neurons in the previous layer and produces output which is then forwarded to the neurons in the next layer. Neural networks usually consist of three types of layers: input layer, hidden layer, and output layer. The input layer is the first layer of the neural network that receives input from the data to be processed. The hidden layer is the layer between the input layer and the output layer which performs data processing using the activation function. The output layer is the last layer of the neural network which produces output based on the processing results in the hidden layer. ...