You can also visualize the model's summary, which will list all the layers along with their respective dimensions and the number of weights each layer consists. It will also provide you with information about the total number of parameters (weights and biases) in your network:

We can see that there are in total 600,810 parameters that will be trained and will require a good amount of computation power! Please note that how we calculate the number of parameters in each layer is out of the scope of this book.