Deep Learning, Artificial Intelligence, Convolutional Network, Semi Supervised Learning, Image Classification.
losses should be more in focus instead of model architecture.) 4.1. MNIST Error rates (%) on test set for MNIST (mean % ± std) Sparse convolutional network [39] is used. No data augmentation for this task. In other words, Tj(xi) is identity function. Only Dropout is used. First, a model is trained