Martin Thoma

Report batch size

Add information how "compressible" the information is. * Raw data: (168233 images *(32*32) pixel / image * 8 bit / pixel) * (1/8 byte / bit) * (1/10**6 MB /...

* MNIST * http://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/ * [EMNIST](https://www.reddit.com/r/MachineLearning/comments/5v5if4/r_emnist_an_extension_of_mnist_to_handwritten/)

Add one-shot learning challenge

Due to extremely similar classes, the top-3 accuracy should also be reported.

Up to my knowledge, it is not well-studied how models are influenced by label noise. Thus an classification challenge, where the training data labels are randomly changed could be interesting.

for TF-CNN

In the following list, "predicted" is what the label should be ``` Predicted=I or |, true=\bot, hasy-data/v2-120965.png Predicted=M, true=\fint, hasy-data/v2-90580.png Predicted=8, true=\circ, hasy-data/v2-85959.png Predicted=\pi, true=\epsilon, hasy-data/v2-38782.png Predicted=\sigma, true=\mid, hasy-data/v2-98167.png Predicted=m,...