Machine Learning with Neural Nets in Python

Johann Mitloehner, 2019-23

• From Perceptrons to Neural Nets in plain Python, including derivatives and gradient descent
• Neural Nets with Keras (before it became part of tensorflow)
• Recurrent Neural Nets including notes an word embeddings and GPU computing
• PDF containing a brief overview of basic neural net concepts

Jupyter notebooks are used in the examples. You can

• access the JupyterHub server of the institute in your web browser from the WU Learn page 'Lernaktivitaeten' (learning activities) for your course. Or,
• install Jupyter on your own computer; on the command line type:
  • JupyterLab: pip install jupyterlab and to launch: jupyter-lab
  • Notebook only: pip install notebook and to launch: jupyter notebook

Find more datasets e.g. at:

• UCI Machine Learning Repository
• R-Data
• Stanford Question Answering Dataset