Predict EPL results (Part 2: Neural Network example)
Neural Network explained Artificial Neural Network is a model that receives input in vector/matrix form and uses them to compute the output It is made up of 3 different layers namely input layer, hidden layer and output layer. Each layer is made up of 1 or more artificial neurons (aka nodes) The nodes are interconnected with one another Each node is assigned to a weight value denoted by w that determines how much emphasis is given to the learned information extracted from the raw training data Note: A Neural Network with 1 hidden layer is known as Shallow Neural Network Types of Neural Networks Feedforward Neural Network Convolutional Neural Network (CNN) Recurrent Neural Network - Long Short Term Memory (LSTM) Networks Recursive Neural Network Neural Network Architecture The figure below shows a Neural Network Architecture that is made up of n features, h hidden layers and ...