Improve model performance and training stability using multilayer perceptrons (MLPs) and applying normalization techniques. Implement autoencoders for unsupervised feature learning and design ...

Much has been written about the computational complexity of inference acceleration: very large matrix multiplies for fully-connected layers and huge numbers of 3×3 convolutions across megapixel images ...

Common benchmarks like ResNet-50 generally have much higher throughput with large batch sizes than with batch size =1. For example, the Nvidia Tesla T4 has 4x the throughput at batch=32 than when it ...