Our experiments have confirmed the effectiveness of autoencoder models. Pay attention that we used fully connected neural layers to train autoencoders. Such models work with a fixed input data window. The algorithm we have built can training any models operating with a fixed input data window. But the architecture of recurrent models is different. To make a decision on the activation of neurons, such models also use their previous state, in addition to ...
We continue to study unsupervised learning methods. In the last article, we got acquainted with autoencoders. The topic of autoencoders is broad and cannot fit within one article. I would like to continue this topic and introduce you to one of autoencoder modifications — variational autoencoders. more... --------------------- Neural networks made easyNeural networks made easy (Part 2): Network training and testingNeural networks made easy (Part 3): Convolutional networks ...
This paper is not about how much to invest or to risk on a trade. No, not at all. These are subjects well treated and forever concluded by many authors in the last decades. This paper is about what you can not see in a backtest report, what you should expect using automated trading software, how to manage your money if you are using expert advisors, and how to cover a significant loss to remain in the trading activity when you are using automated procedures. ...
Here is a new article from our series about how to design a trading system based on the most popular technical indicators. We will learn in this article a new technical tool that can be used in our favor in trading. We will learn about the Accelerator Oscillator indicator (AC) in detail as we learn what it is, what it measures, how it can be calculated, how to read it and use it also through simple trading strategies then how we can create a trading system ...
Machine Learning has changed our world a lot in many ways, we have different methods to learn the training data for classification and regression problems, such as linear regression, logistic regression, support vector machine, polynomial regression, and many other techniques, Some parametric methods like polynomial regression and support vector machines stand out as being versatile. more...
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