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Dropout is a regularization method developed to prevent overfitting in deep learning models and is now widely used. It was first proposed by Geoffrey Hinton and colleagues in 2012 and later thoroughly analyzed in 2014 under the leadership of Nitish Srivastava. Dropout çalışma prensibi tasviri (Yapay Zekâ ile oluşturulmuştur) " image-element-format="right" image-source="https://cdn.t3pedia.org/media/uploads/2025/06/22/OSfR2gHLwJOEcOthhc3dmhlyiiW1vYk7.png"> Mechanism of Operation Dropout is a r

Steganalysis is the general term for analytical and investigative methods aimed at detecting the presence of data hidden using steganography techniques in digital media. While steganography aims to conceal information within other data without drawing attention, steganalysis seeks to uncover the digital traces left by such concealment.【1】 Thus, the two approaches represent complementary aspects of the processes of concealing and detecting hidden information in digital environments. Today, variou