Basics Neural network is a mathematical function to solve some programming problems which is almost impossible to be solved with conventional programming. Neural network consist of neurons and weights. Neurons are made up with activation function and holds output of the function called activation value. Weights are just values which connects one neuron to another. Neurons are grouped and forms a layer. Each layer is connected with other layer by weights. There are three kind of layers; input layer, hidden layer and output layer. Any neural network contains at least one hidden layer, though there might be more than one hidden layers are possible. Input layers accepts input, calculate activation values for next hidden layer, the next layer does same process and pass result to next of it. This goes on until output layer is reached. Each layer calculates Z values using weight and activation. Using Z values activation of next layer is calculated. Once we get activation of output laye...
