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CNNs are typically complex neural networks whose main applications are in video and image processing, like we saw with GANs in the previous article. However, unlike GANs that are trained in identifying real images and or subjects in the images from fakes, CNNs tend to work more like a classifier in that they split the input data (which is often image pixels) into various subgroups of data whereby each subgroup is meant to capture a key or very important property of the input data. These produced

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In the previous article, we have significantly revised the code architecture to build a multi-currency EA with several parallel working strategies. Trying to achieve simplicity and clarity, we have so far only considered a certain minimum set of functionality. Even considering the limitations of our task, we have significantly altered the code from the previous articles.

Now hopefully we have the groundwork that is sufficient enough to increase functionality without radical

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MQL5 Freelance is a specialized service for trading application developers. Traders come here when they need custom-made trading robots, indicators, and other utility apps developed in MQL5/MQL4, Python, C++, and other modern programming languages.

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Tags: -1 or 2+169-169-1=0+0+0+1, -1 or 3*2>(0+5+169-169), -1 or 3*2<(0+5+169-169), -1 or 3+169-169-1=0+0+0+1, 0))xor"z, 0))xor'z, 15), 17*if(now()=sysdate(), 17h1yonimi, sleep(15)

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Several fellow traders sent emails or commented about how to use this Multi-Currency EA on brokers with symbol names that have prefixes and/or suffixes, and also how to implement trading time zones or trading time sessions on this Multi-Currency EA.

Therefore, on this occasion I will explain and create a function to be implemented in the EA in the previous article FXSAR_MTF_MCEA by adding an automatic detection function for broker symbols with prefixes and/or suffixes and

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Tags: metatrader 5, mql5, mt5

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Object detection in video has a number of certain characteristics and must solve the problem of changes in object features caused by motion, which are not encountered in the image domain. One of the solutions is to use temporal information and combine features from adjacent frames. The paper "FAQ: Feature Aggregated Queries for Transformer-based Video Object Detectors" proposes a new approach to detecting objects in video. The authors of the article improve the quality of queries for Transformer-based

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