Design your own ML training algorithm here


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Model Settings and information

See and configure basic settings for the model here and proceed to customize the individual layers :


Number of dataset images: 0
Model Name:  
Classes:  
Train-Test Ratio:  
Train-data Size:  
Test-data Size:  

Input Layer (Conv2D):
Resolution (px): x
Kernel Size:   Filters:  
Padding:   Strides:  
Activation:   kernelInitializer:  
Output Layer (Dense):
Activation:   kernelInitializer:  
     

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