Machine Learning: Deep Learning Hands-On with TensorFlow

Hands-on coding with explanations: how to classify the breast cancer Wisconsin Dataset from Scikit-Learn with TensorFlow. Based on a JupyterLab (Jupyter Notebook) with Python 3. Building a neural network with one hidden layer (8 nodes, ReLU activation) and one output node (Sigmoid activation). As an intro after the previous theory module, network architectures are explained using the TensorFlow Playground. Part of a Machine Learning & Deep Learning lecture series for Digital Healthcare at the St. Pöl