This week we started looking at a new dataset (no more MNIST, rejoice!), the CIFAR10 image recognition dataset. Well, “looking” might be a strong verb. I wanted to build a simple CNN to try this in skflow. There’s a TensorFlow tutorial on this benchmark, but they develop a custom method of actually reading in the data. So it took me a while to decipher what they were doing before I could just read the images into my own simple numpy array. But I got it eventually and built a basic logistic regression classifier (not very good, but shows that the setup works). Next time (March 15 as I’m off next week), we’ll be at it in full force.