Deep Learning, Artificial Intelligence, Convolutional Network, Image Classification, Resnet.
is applied to the weights in convolution and fully-connected layers. Other parameters, including the biases and and in BN layers, are left unregularized. 2.2. Low-Precision Training Comparison of the training time and validation accuracy for ResNet-50 between the baseline (BS=256 with FP32) and a