This package sends your deep learning training loss and accuracy to your slack channel after every specified epoch. It uses slackclient and keras python packages.
$ pip install coffeeshop
from coffeeshop.coffeeshop import Coffeeshop secret = 'xoxp-slacktoken' # For sending metrics to channel. channel_name = 'name_of_channel_to_be_posted' histories = Coffeeshop(token = secret, channel_name = channel_name, epoch_num = 5) # For sending metrics to user. user = 'User Name' histories = coffeeshop(token = secret, user_name = user, epoch_num = 5) ## Add histories in the callbacks. model.fit(X_train, Y_train, epochs = epochs, batch_size = batch_size,callbacks = [histories])