Design your own ML training algorithm here


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:  
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: