Classifying actor faces and hand-written digits. Few different options tested: multinomial logistic regression, single layer neural net and a mock implementation of AlexNet (4 convolutional layers). Peak performance: 95% (6 actors classification), 92% (10 digits classification)
Built with Python 2 (Anaconda) and Tensor Flow 1.0 FaceScrub and MNIST datasets (included)