from keras.callbacks import TensorBoard
import time
now = time.strftime('%c')
model.fit(X, Y, batch_size=2, nb_epoch=100, shuffle=True, verbose=1,
    validation_split=0.1, callbacks=[TensorBoard(log_dir='./logs/' + now,
    histogram_freq=0, write_graph=True)])
How can I separate runs of my TensorFlow code in TensorBoard?