GitHub

oalmirsergio/Autoencoders-vs-Variational-Autoencoders

Este repositório reúne o código, os slides e o relatório desenvolvidos para o trabalho da disciplina de Redes Neurais (NES), cujo objetivo foi comparar o comportamento de um Autoencoder clássico com ...
Scientific Research Publishing

Intelligent Agents in Cybersecurity: Deep Learning to Analyze User Behavior Applying ()

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior using deep learning methods and ensuring interpretability of decisions. A four ...
C&EN

MODAPro: Explainable Heterogeneous Networks with Variational Graph Autoencoder for Mining Disease-Specific Functional Molecules and Pathways from Omics Data

State Key Laboratory of Medical Proteomics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, P. R. China University of Chinese Academy of Sciences, Beijing 100049, P.
IEEE

Aditya Puranik

AI Technology,Composers,Computer Numerical Control,Creative Arts,Creative Process,Cuckoo Search,Deep Learning,Efficient Feature Extraction,F1 Score,Fourier Analysis ...
GitHub

This project contains a TensorFlow-based Denoising Autoencoder (DAE) to exact model galaxy from observed galaxy images and perform galaxy model subtraction.

Clone this repository to your local machine or cloud service using the following command: To provide a comprehensive overview of the dataset generation process used in your project, it's important to ...
IEEE

Machine Learning with TensorFlow, Second Edition

Abstract: Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow ...