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Feb 20, 2022 - Jupyter Notebook
#
training-accuracy
Here are 4 public repositories matching this topic...
Fraud detection over twitter feed data
svm
classification
logistic-regression
gradient-descent
optimization-algorithms
twitter-data
gaussian-kernel
overfitting
underfitting
training-accuracy
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Feb 6, 2020 - MATLAB
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.
deep-learning
machine-learning-algorithms
classify-traffic-signs
german-traffic-signs
training-accuracy
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Apr 26, 2021 - Python
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…
python
deep-learning
densenet
resnet
regularization
cutout
cifar-10
test-accuracy
relu
activation-functions
training-accuracy
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Sep 14, 2020 - Python
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