In this online course, you will learn with many practical exercises to program machine learning models with deep neural networks. In addition to the basics of deep learning, special emphasis is placed on convolutional neural networks (CNN) for processing images and recurrent neural networks (RNN) for processing sequential data such as texts. The course focuses on the Google framework TensorFlow and the Keras based on it, two proven libraries for developing ML applications.

The Intensive course deep learning with TensorFlow and Keras is aimed at software developers and those interested in AI with programming knowledge. Knowledge of Python and initial experience with the Python Scientific Stack (Numpy, Pandas, Jupyter Notebooks) are helpful. The workshop will take place from 23. to 26. February as an online course, so that you can conveniently participate in your browser at home or at work. The speakers Philipp Braunhart and Moustapha Karaki are experienced machine learning engineers and trainers.

During the course you can ask the speakers questions and exchange ideas with other participants. In a hackathon at the end of the course, the participants work on their own questions under the guidance of the speakers. The workshop is limited to 15 participants in order to guarantee intensive support. When booking by 31. January you get 10% early bird discount.

Deep learning with TensorFlow and Keras, online course, 23 .- 26. 2. 2021: Further information and registration (odi)