Deep Learning, Artificial Intelligence, Convolutional Network, Semi Supervised Learning, Self Supervised Learning.
An additional difference between the three algorithms is that the Π model applies training to θ’ whereas Temporal Ensembling and Mean Teacher treat it as a constant with regards to optimization. Mean square error (MSE) is used to train the consistency cost. 3. Experimental Results 3.1. SVHN &