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Feb 20, 2022 - Jupyter Notebook
training-accuracy
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I utilized deep neural networks and convolutional neural networks to classify traffic signs. I trained and validated a model so it can classify traffic sign images using the German Traffic Sign Dataset.
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Apr 26, 2021 - Python
Fraud detection over twitter feed data
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Feb 6, 2020 - MATLAB
This project proposes a neural network architecture Residual Dense Neural Network - ResDen, to dig the optimization ability of neural networks. With enhanced modeling of Resnet and Densenet, this architecture is easier to interpret and less prone to overfitting than traditional fully connected layers or even architectures such as Resnet with hig…
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Sep 14, 2020 - Python
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