Cifar10 Classifier

This is my attempt at classifying images in the cifar10 dataset. It’s based around 3inception modules.

Accuracy

Architecture

Accuracy on test set

c2, c2, mp, c2,c2,mp,f,d,d

xx

c2, ap, c2, ap, c2, ap, f, d, d, do

64.28 %, 60.22 %

data-normalized, c2, ap, c2, ap, c2, ap, f, d, d, do

65.83 %

data-normalized-gray, c2, ap, c2, ap, c2, ap, f, d, d, do

62.91 %

inception-module

62.82 % (stopped becuase of overfitting)

inception dense drop

62.89 %

inception inception drop

74.18 %

inceptionx3 dense drop

77.61 %

nceptionx3 dense drop dense drop dense

77.25 %

Git

https://github.com/Tzeny/udemy-zero-to-deep-learning/blob/master/course/Cifar10.ipynb