 Model description  Bokeh model is based on a DenseNet architecture. The model is trained with a mini-batch size of 32 samples with Adam optimizer and a learning rate $0.0001$. It has 3.632 trainable parameters, 8 convolution filters are used for the network's input, with $7\times7$ kernel size.  