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A prova de convergência do procedimento de aprendizado proposto por Rosenblatt é conhecida como teorema de convergência do perceptron. O perceptron construído em torno de um único neurônio é limitado a realizar classificação de padrões com apenas duas classes (hipóteses).
This project is a knowledge test on time series applied to pollution analysis. This exercise has been carried out with a series of restrictions on the dataset. The objective is to use machine learning techniques, specifically recurrent neural networks.
Hello! We are an international group of students researching deep learning applications for Alzheimer's disease. We aim to introduce a better model for AD diagnosis. Our names are Hugo Jal Hernández, Basit Oliyide, Parth Parikh & Ravi Shah.
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
This is the code related to my MSc thesis at the Norwegian University of Science and Technology (NTNU). The MSc program is Electronic system design and innovation with a specialization in signal processing. The goal of this thesis is to explore and compare the state of the art solution to more traditional models for time series generation.
Design of target-focused libraries by probing continuous fingerprint space with recurrent neural networks. The repository accompanies a research paper which is currently under review (08.04.24)
Detectify is a deep learning system that detects AI-generated fake videos (deepfakes) using CNN and LSTM-based RNNs. Trained on datasets like Face-Forensic++, Deepfake Detection Challenge, and Celeb-DF, Detectify offers real-time video manipulation detection to combat misinformation and misuse of deepfake technology.