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Reimplementation (with creative free license) of a paper using a CNN-LSTM deep learning neural network to classify environmental (non-speech) sounds as hazardous or non-hazardous.
Emulating the brain using Prototypes and Exemplars
We will design a Deep Reinforcement Learning agent to automate stock trading.
Predicting Trading Prices based on COVID-19 Cases
A conversation model that incorporates human-like behaviors in its responses.
Producing Some Cool Computer Generated Ghibli Tunes
Reinventing state of the art American Sign Language recognition
CSCI 2470 Final ProjectUse machine learning method to characterize the high speed link
Coloring black and white images!
Using deep learning neural networks to classify wastes
Comparison between LSTM and attention model for image captioning
Few shot learning for image classification
Speech Emotion Recognition Using Attention-Based Fully Convolutional Neural Network
This project is to build a automatic generator which can generate pieces of classical music with characteristics corresponded to their eras.
An Auto Music Segment Generator
Our 2020 DL Project
In this work, we propose an improved version of Cutout, which utilizes per-pixel importance scores created by a model interpretability method, Grad-CAM. We call this method Gutout.
Generating music with harmony and structure using RNNs trained on a classical music corpus.
Transfers the input sentences given from human users to some more structured and detailed paragraphs, which could enhance the performance of conversation generation of GPT-2.
Classifying fonts with neural network
In this project we will be implementing a Deep Learning Neural Network Algorithm to predict Twitter users’ political affiliations using a singular tweet.
Traffic Sign Classification and Detection
Deep fake detection using deep learning
Implementing this paper: https://arxiv.org/pdf/1911.12569.pdf
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