I have a shared machine with 64 cores on which I have a big pipeline of Keras functions that I want to run. The thing is that it seems that Keras automatically uses all the cores available and I can't do that.
I use Python and I want to run 67 neural networks in a for loop. I would like to use half of the available cores.
I can't find any way of limiting the number of cores in Keras... Do you have any clue?