Yep, as he mentioned you need some familiarity with scikit learn or similar APIs, take a look at [1] for example. In essence X_train and Y_train are 2d arrays with shape (n_samples, n_features), Y_train is usually of shape (n_samples, 1) the same as the output. Normally both list of lists or numpy arrays are accepted, even a generator of samples as long as it is a 2D like structure. I would say that if this is not obvious to you maybe you should start with something more basic like linear models in scikit-learn before jumping to deep learning.

[1] http://scikit-learn.org/stable/tutorial/basic/tutorial.html#...