Abstract: When dealing with clinical text classification on a small dataset, recent studies have confirmed that a well-tuned multilayer perceptron outperforms other generative classifiers, including ...

Abstract: In recent years, deep learning (DL) has accelerated the development of hyperspectral image (HSI) processing, expanding the range of applications further. As a typical model of unsupervised ...

Autoencoder.py defines a class that pretrains and unrolls a deep autoencoder, as described in "Reducing the Dimensionality of Data with Neural Networks" by Hinton and Salakhutdinov. The layer ...

This project is an AI-driven payment fraud detection system that leverages a deep learning autoencoder to identify anomalous transactions. It is built using Python with TensorFlow for the deep ...