Deep Learning

• They can make predictions with high accuracy on complex data structures. 
• They can automatically learn features on data.
• It can be used successfully in many areas such as image recognition, natural language processing and voice recognition. 
• Thanks to its ability to adapt to different data types and problems, it has a wide range of applications in various industries. 
• They can be continuously improved by retraining and feeding them with more data. 

• Deep Learning is a machine learning method used to analyze complex data structures and learn their properties using artificial neural networks. 
• Deep learning models working on text data can be used for language analysis, text classification, translation and emotional analysis. 
• Speech recognition synthesis and voice sensitivity studies on audio data

Deep learning enables computers to realize the ability to analyze and learn complex information, similar to the human brain.