Decode the Classifier’s Answers
Explore how to decode the numerical outputs of a multi-class classifier into human-readable labels. Understand the role of one-hot encoding, matrix dimensions, and numpy functions like argmax in interpreting classifier results. Gain insight into adjusting weight matrices for multi-class problems and verifying matrix multiplication dimensions during training and testing phases.
We'll cover the following...
We'll cover the following...
Overview of classifier
Let’s review how classify() works. During the classification phase, the WSSs return arrays of ten numbers from to . But when we ask the system to recognize an image, we do not want to see those arrays, we want a human-readable answer such as “ ...