How to Visualize a Deep Learning Neural Network Model in Keras - Machine Learning Mastery

The summary can be created by calling the summary() function on the model that returns a string that in turn can be printed. Below is the updated example that prints a summary of the created model. Running this example prints the following table. We can clearly see the output shape and number of weights in each layer. The summary is useful for simple models, but can be confusing for models that have multiple inputs or outputs. Keras also provides a function to create a plot of the network neural network graph that can make more complex models easier to understand. The plot_model() function in Keras will create a plot of your network.