I am training an autoencoder on MNIST, and noticed that increasing the batch size after 128, starts taking more computation time on a fixed dataset size. I am using tensorflow-gpu and have GeForce...

Finding the maximum batch size is a cumbersome and often time-consuming process. However, there are some solutions that propose approximate solutions, such as (How to calculate optimal batch size)....

I have trained the Cifar100 dataset using ResNet18 backbone with the proposed technique for the research propose, and I ends up getting some surprising results. I have gone for the two attempts fir...

I read from somewhere that if you choose a batch size that is a power 2, training will be faster. What is this rule? Is this applicable to other applications? Can you provide a reference paper?