Tuning CNN hyper parameters using the grey wolf optimization GWO -- 3

Job ID: 31622909

Budget: $10 – $30 USD

I need to use the grey wolf optimization for tuning the hyper parameters of Convolutional neural network CNN
I have build the model but I don’t know how to apply the optimizer for tuning kernal size of convolution and pooling layers and tuning the number of filter
Related categories: Python Machine Learning (ML) Deep Learning