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  1. Neural networks made easy (Part 23): Building a tool for Transfer Learning

    by , 10-19-2022 at 09:07 PM
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    We continue our immersion in the world of artificial intelligence. What is Transfer Learning and why do we need it? Transfer Learning is a machine learning method in which the knowledge of a model trained to solve one problem is reused as a basis for solving new problems. Of course, to solve new problems, the model is preliminarily additionally trained on new data. In the general case, with a properly selected donor model, additional training runs much
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  2. Learn how to design a trading system by Alligator

    by , 10-18-2022 at 01:44 AM
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    Here is a new article from our series about how to design a trading system based on the most popular technical indicators. In this article, we will learn in detail about the Alligator indicator by learning what it is, it measures, how we can calculate it, and how we can read and use it. Then we will create a trading system based on some simple strategies based on the main objective of this indicator.
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  3. Neural networks made easy (Part 22): Unsupervised learning of recurrent models

    by , 10-13-2022 at 01:42 AM
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    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
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  4. Neural networks made easy (Part 21): Variational autoencoders (VAE)

    by , 10-11-2022 at 01:14 AM
    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.
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    1. Neural networks made easy
    2. Neural networks made easy (Part 2): Network training and testing
    3. Neural networks made easy (Part 3): Convolutional networks
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  5. Risk and capital management using Expert Advisors

    by , 10-09-2022 at 01:06 AM
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    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.
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