Limit number of cores used in Keras

As mentioned in this solution, (https://stackoverflow.com/a/54832345/5568660)

if you want to use this using Tensforflow or Tensorflow_gpu, you can directly use the tf.config and feed it to the session:

config = tf.ConfigProto(intra_op_parallelism_threads=32, 
                        inter_op_parallelism_threads=32, 
                        allow_soft_placement=True)

session = tf.Session(config=config)

As @Yu-Yang suggested, I used these lines before each fit:

from keras import backend as K
K.set_session(K.tf.Session(config=K.tf.ConfigProto(intra_op_parallelism_threads=32,
                                                   inter_op_parallelism_threads=32)))

Check the CPU usage (htop) :