Programming a Deep Neural Network from Scratch using MQL Language G.R.

Programming a Deep Neural Network from Scratch using MQL Language MetaTrader 5 -- Examples 20 October 2021, 10:33 21 622 Anddy Cabrera Introduction Since machine learning has recently gained popularity, many have heard about Deep Learning and desire to know how to apply it in the MQL language. I have seen simple implementations of artificial neurons with activation functions, but nothing that implements a real Deep Neural Network. In this article, I will introduce to you a Deep Neural Network implemented in the MQL language with its different activation functions, such as the hyperbolic tangent function for the hidden layers and the Softmax function for the output layer. We will move from the first step through the end to completely form the Deep Neural Network. 1. Making an Artificial Neuron It begins with the basic unit of a neural network: a single neuron. In this article, I will concentrate on the different parts of the type of neuron that we are going to use in our Deep Neural Network, although the biggest difference between types of the neurons is usually the activation function.