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Different solutions to choose the solution that best fits all the examples received. This technology is used to create systems for determining the content of photos such as searching for inappropriate content (such systems operate on and ), developing voice recognition programs (Voice Assistant, Voice Assistant, ), automatically detecting spam searches for all photos of a specific person ( Photo albums of specific people or suggestions to tag specific.

Friends in photos) Deep Learning or Deep Learning Today deep last database learning is the most promising and actively developed machine learning method model. Unlike simple recommendation systems based on statistics and basic machine learning methods, where a computer is trying to find a pattern across many tasks, deep learning algorithms can know next to nothing about the data they receive while trying to find those patterns in the data at the same time.



For example, using simpler machine learning methods, programmers tell the computer exactly where the face is in the photo, where the eyes are, where the nose is, and they point out the features they think are important. Deep learning algorithms themselves can determine and systematize an unlimited number of features and take them all into account. Based on such a system was born It is an application that can convert photos into paintings in the style.