Artificial Intelligence By Example

Implementing a CNN-CRLMM to detect gaps and optimize

The CNN-CRLMM function was described in the Running a prediction program section and in Chapter 11, Conceptual Representation Learning. The prediction function is part of the MDP output analysis described later. The CRLMM function is called as shown in the following code:

180: def CRLMM(Q,lr,e):

The first part of this function squashes the W vector described in the following section. The second part of this function analyzes the input frame.

Since no webcam is connected to the system at this point (that must be done during project implementation), a random image (frame) choice is made. The following random code simulates the random occurrences of real-life production:

status=random.randint(0,1) ...