Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods

Benchmark Model Rank Results
image-classification-on-cifar-10Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods#154Percentage correct: 94.29
image-classification-on-cifar-100SOPCNN#155Percentage correct: 72.96PARAMS: 4,252,298
image-classification-on-mnistSOPCNN (Only a single Model)#4Percentage error: 0.17Accuracy: 99.83Trainable Parameters: 1400000
image-classification-on-stl-10SOPCNN#35Percentage correct: 88.08
image-classification-on-svhnSOPCNN#10Percentage error: 1.50