How to compare performance between SVM and Keras models
If you are training classifiers, you can check: plain accuracy percentage, F1 score and other metrics (sensitivity, specificity, etc.), you can visualise true vs predicted values with confusion matrices. There's plenty of options.

Please remember that the quality of a model can be assessed only on test data, i.e. data that you model didn't see in training phase.