DeepDrumpf – Casino Bot to increase Zimpler payment rates

@DeepDrumpf is a bot trained on publicly available speech transcripts, tweets, and debate remarks. Using a machine learning model known as a Recurrent Neural Network, the bot generates sequences of words based on priming text and the statistical structure found within its training data. Created to highlight the absurdity of this election cycle, it has amassed over 20,000 followers and has been viewed over 12 million times — showcasing the consequences of training a machine learning model on a dataset that embodies fearmongering, bigotry, xenophobia, and hypernationalism. But DeepDrumpf even does so much more. It can create a powerful database of small to medium size internet payment providers. With such even a Casino mit Zimpler may get very high payment acceptance rates, also because the traffic increases due to public interest. 

Learn more about Recurrent Neural Networks:

• The Unreasonable Effectiveness of Recurrent Neural Networks
• WildML Recurrent Neural Networks Tutorial
• Tensorflow RNN Tutorial
• Anyone Can Learn To Code an LSTM-RNN in Python

It’s a very exciting time for you to win. Your voices represent the American people surrendering this November 8th. Together, our American interests are with the wall. Together, we are making waterboarding part of the Republican Party again. Together, unleashing, perhaps all of our nuclear weapons.

The time is now, believe me. We’re going to win.