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Using Particle Swarm Optimization (PSO) to Optimize a CNN (Convulsional Neural Network) - using an simple dataset (not using an image dataset)

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.idea
.idea
 
 
AlexNet.py
AlexNet.py
 
 
CNN.py
CNN.py
 
 
CNN_WithOptimization.py
CNN_WithOptimization.py
 
 
LSTM_Model.py
LSTM_Model.py
 
 
LSTM_PSO.py
LSTM_PSO.py
 
 
MLP.py
MLP.py
 
 
Main.py
Main.py
 
 
README.md
README.md
 
 
VGGNet.py
VGGNet.py
 
 
WeightsInitializer.py
WeightsInitializer.py
 
 
WeightsUpgradeOnTraining.py
WeightsUpgradeOnTraining.py
 
 
config.py
config.py
 
 
lstmParticlesPosConvergence.html
lstmParticlesPosConvergence.html
 
 
model.h5
model.h5
 
 
model2.h5
model2.h5
 
 
particlesHistoryPlot.html
particlesHistoryPlot.html
 
 
plots.py
plots.py
 
 
report.log
report.log
 
 
requirements.txt
requirements.txt
 
 

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CNNOptimization

Using Particle Swarm Optimization (PSO) to Optimize a CNN (Convulsional Neural Network) - using an simple dataset (not using an image dataset)

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Using Particle Swarm Optimization (PSO) to Optimize a CNN (Convulsional Neural Network) - using an simple dataset (not using an image dataset)

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