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This repository contains code for generating new music using Generative Adversarial Networks (GANs). GANs are a type of deep learning model that can learn to generate new data that resembles the training data. In this case, we use GANs to generate music sequences based on existing MIDI files.
Este projeto implementa uma rede neural simples do zero para classificar o conjunto de dados MNIST usando apenas NumPy e muita matemática. A rede é treinada usando gradiente descendente e avaliada em um conjunto de testes.
This repo. for code and data set fro different human activities and Gait analysis research https://sites.google.com/view/vsemwal/research/human-activities-gait-data-set
An analog gauge reading app using CNN
Support Tickets Classification According to their Departments(ML and DL )
Using the concepts of signal processing, machine learning and neural networks, predicting the motor activity(running,walking,jumping,climbing) of an individual using data collected by accelerometer and gyroscope, by applying time-series analysis
All the Deep Learning Projects I have been working on using Python.
This repository contains an implementation of Stock Market prediction using Stacked LSTMs.