Applications of deep training methods investigated

The next scientific on "Application of deep training methods: approaches, problems" was held at the Institute of Information Technology of ANAS.

Senior researcher of the Institute, Aybaniz Aliyeva, presented the report and gave general information about deep learning methods, which are aspects of artificial intelligence.

She informed about  the applications of deep training methods. Deep training methods are applied in recognition of images, classification of objects, speech recognition, natural language processing, weather forecasting, intelligent transport management and so on. areas and that these training methods have a promising application in the oil and gas industry.

The design and development of oil and gas fields, as well as the analysis and forecasting of wells in the calculation of oil and gas reserves play an important role and the experimental determination of operations requires a lot of time and time in terms of labor and computing resources, she noted.  The reporter noted the need for more time and resources in terms of computing resources, and for this purpose, many models of empirical correlation and machine learning were widely used.

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