Copy of cat images

I’m wanting to execute performance tests when doing training. I’m looking to add USDT probes in the code so I can see where time is spent in the Linux kernel when training with vectorization versus looping. We know vectorization is faster than loops, but what kernel services are called between the two approaches.

I would like to use the images from the week-2 programming assignment for the tests. Is it possible to obtain those training and testing datasets?

Which course name and which week? There are three courses in the MLS sequence.

Neural Networks and Deep Learning - week 2

You’re referring to Assignment 2 “Logistic Regression with a Neural Network Mindset”?

The dataset is not available to download from Coursera.

But I believe it’s the same dataset found here on Kaggle.