Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python

© Umberto Michelucci 2022

U. MichelucciApplied Deep Learning with TensorFlow 2https://doi.org/10.1007/978-1-4842-8020-1_10

10. Metric Analysis

Umberto Michelucci¹  

(1)

Dübendorf, Switzerland

 

Let’s consider a classification problem (similar to one that we have seen so far in the book). While doing all our work we made a strong assumption without explicitly saying it: we assume that all the observations are correctly labelled! We cannot say that with certainty. To perform the labelling, we needed some manual intervention, and therefore there must be a certain number of images that are improperly classified since humans are not perfect. This is an important revelation.

Consider the following scenario: we are supposed to reach 90% accuracy in a classification ...