Installing Cerbo is simple and can be accomplished through pip. Cerbo was designed as a high-level API which wraps other machine learning libraries to allow beginners to grasp the concepts more easily.
Here is an example of Cerbo in action. We can perform efficient ML modeling with limited preprocessing capabilities. With Cerbo, you can run a model in less than 5 lines in most cases.
Let's train a deep neural network on the classic MNIST dataset with Cerbo! We start by importing the necessary libraries and defining our data with Cerbo:
For the final step, we can test our model and output its acurracy. As you can see, Cerbo gives you plenty of customizability and the ability to run models with simple methods.