Below are some common configurations for the batch size:
batch size=1 :
Weights are updated after each sample and the procedure is called stochas- tic gradient descent.
status
not read
reprioritisations
last reprioritisation on
suggested re-reading day
started reading on
finished reading on
Parent (intermediate) annotation
Open it Below are some common configurations for the batch size: batch size=1 : Weights are updated after each sample and the procedure is called stochas- tic gradient descent. batch size=32 : weights are updated after a specified number of samples and the procedure is called mini-batch gradient descent. Common values are 32, 64, and 128, tailored to the desir