Artificial intelligence is often associated with something fantastically complex and incomprehensible. At the same time, artificial intelligence is increasingly mentioned in everyday life. News about achievements related to the use of neural networks often appear in different media. The purpose of this article is to show that anyone can easily create a neural network and use the AI achievements in trading.
Since the beginning of this series of articles, we have already made a big progress in studying various neural network models. But the learning process was always performed without our participation. At the same time, there is always a desire to somehow help the neural network to improve training results, which can also be referred to as the convergence of the neural network. In this article we will consider one of such methods entitled Dropout.
In the previous article, we started considering methods aimed at increasing the convergence of neural networks and got acquainted with the Dropout method, which is used to reduce the co-adaptation of features. Let us continue this topic and get acquainted with the methods of normalization.
In the previous article, we started considering methods aimed at improving neural network training quality. In this article, we will continue this topic and will consider another approach — batch data normalization.
关于交易、自动交易系统和测试交易策略的论坛
将神经网络提升到新的水平
Sergey Golubev, 2021.04.13 10:14
网格和马丁格尔交易系统中的机器学习。你会在它上面下注吗？- MT5
我们一直在努力研究使用机器学习的各种方法，旨在寻找外汇市场上的模式。你已经知道如何训练模型并实现它们。但有大量的交易方法，几乎每一种都可以通过应用现代机器学习算法来改进。最流行的算法之一是网格和/或马丁格尔算法。在写这篇文章之前，我做了一点探索性分析，在互联网上搜索了相关信息。令人惊讶的是，这种方法在全球网络中几乎没有任何覆盖。我在社区成员中做了一个关于这种解决方案的前景的小调查，大多数人回答说他们甚至不知道如何处理这个话题，但这个想法本身听起来很有趣。虽然，这个想法本身似乎很简单。
让我们进行一系列的实验，有两个目的。首先，我们将试图证明，这并不像乍看起来那么困难。第二，我们将尝试找出这种方法是否适用和有效。
神经网络变得简单（第12部分）。辍学
Since the beginning of this series of articles, we have already made a big progress in studying various neural network models. But the learning process was always performed without our participation. At the same time, there is always a desire to somehow help the neural network to improve training results, which can also be referred to as the convergence of the neural network. In this article we will consider one of such methods entitled Dropout.
内容
神经网络变得简单（第13部分）。 批量归一化
In the previous article, we started considering methods aimed at increasing the convergence of neural networks and got acquainted with the Dropout method, which is used to reduce the co-adaptation of features. Let us continue this topic and get acquainted with the methods of normalization.
关于交易、自动交易系统和测试交易策略的论坛
将神经网络提升到新的水平
Sergey Golubev, 2021.10.20 11:21
使用MQL语言从零开始为深度神经网络编程