Python Reinforcement Learning Projects

fit method

The last method we will implement for our SimpleCNN is the fit method. This function triggers training for our CNN. Our fit method takes four input:

Argument	Description
X_train	Training data
y_train	Training labels
X_test	Test data
y_test	Test labels

 

The first step of fit is to initialize tf.Graph and tf.Session. Both of these objects are essential to any TensorFlow program. tf.Graph represents the graph in which all the operations for our CNN are defined. You can think of it as a sandbox where we define all the layers and functions. tf.Session is the class that actually executes the operations defined in tf.Graph:

def fit(self, X_train, y_train, X_valid, y_valid):    """    Trains a CNN on given data    Args: numpy.ndarrays ...