Machine Learning: Deep Learning Hands On with Tensor Flow

Handson coding with explanations: how to classify the breast cancer Wisconsin Dataset from ScikitLearn 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