You can Start Making a Difference in Every Field with Deep Learning
What is Deep Learning and How Does it Function?
Deep learning is a machine learning method that consists of a multi-layered structure that predicts the results provided by the data. Deep learning, machine learning; Machine learning is a sub-branch of artificial intelligence.
Artificial intelligence, which emerged in the early 1950s, started to take place in technology as systems that perform specific tasks and constantly renew themselves, similar to human intelligence. On the other hand, machine learning emerged in the early 1980s and entered our lives as a form of knowledge put forward by processing the dataset and making predictions. However, both forms of learning have been waiting behind dusty sides for many years without showing any improvement. Contrary to these two learning, a different form of learning has come to the fore. This form of knowledge, which emerged at the beginning of the 2000s, has started to attract significant attention in the market as “Deep Learning” and has begun to make a name for itself.
So why didn’t this Artificial Intelligence and Machine Learning make progress in those years?
1. Lack of data,
2. Financial inadequacy,
3. False activation functions,
4. The slow progress of computer development,
Over time, with the development of technology, insufficient computers in artificial intelligence operations became more robust, data sets grew, and new algorithms were developed with existing algorithms. Thus, developments in artificial intelligence and machine learning began to be observed. However, parallel to these learnings developments in the field of “Deep Learning” began to be experienced one after the other. One of the essential features in this learning area is that the more data input for the learning process, the more successful it is.
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