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  1. Deep Learning GRU model with Python to ONNX with EA, and GRU vs LSTM models

    by , 03-09-2024 at 03:07 PM
    This is the continuation of Deep Learning Forecast and Order Placement using Python, the MetaTrader5 Python package and an ONNX model file, but you continue this one without the previous one. All will be explained. Everything we will use is included in this article. In this section, we will guide you through the entire process, culminating in the creation of an Expert Advisor (EA) for trading and subsequent testing.

    Machine learning is a subset of artificial intelligence (AI)
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  2. Evaluating ONNX models using regression metrics

    by , 03-06-2024 at 04:19 AM
    Regression is a task of predicting a real value from an unlabeled example. A well-known example of regression is estimating the value of a diamond based on such characteristics as size, weight, color, clarity, etc.

    The so-called regression metrics are used to assess the accuracy of regression model predictions. Despite similar algorithms, regression metrics are semantically different from similar loss functions.

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  3. Australia Q4 Current Account Surplus A$11.8 Billion

    by , 03-05-2024 at 02:21 PM

    Australia posted a seasonally adjusted current account surplus of A$11.8 billion in the fourth quarter of 2023, the Australian Bureau of Statistics said on Tuesday.

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  4. Raye Makes History, Winning Six Trophies at 2024 Brit Awards

    by , 03-05-2024 at 04:26 AM


    Raye had already made history going into the Brit Awards ceremony on Saturday, having been the first artist to rack up seven nominations. Now, the singer has smashed another record, taking home six awards — Songwriter of the Year, Song of the Year, Best R&B Act, Best New Artist, Artist of the Year, and Album of the Year; she lost Best Pop Act to Dua Lipa. The previous record ...
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  5. Working with ONNX models in float16 and float8 formats

    by , 03-03-2024 at 10:45 AM
    With the advancement of machine learning and artificial intelligence technologies, there is a growing need to optimize processes for working with models. The efficiency of model operation directly depends on the data formats used to represent them. In recent years, several new data types have emerged, specifically designed for working with deep learning models.

    In this article, we will focus on two such new data formats - float16 and float8, which are beginning to be actively used
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