This repository contains Jupyter Notebooks of simple TensorFlow models. Instead of using public data sets, the focus here is to allow the user to create their OWN data sets. This way the user can explore the relationship between different data sets and the hyperparameters needed to fit the model.
Create clusters of points. Classify the data according to what cluster it falls in.
Create wave samples with a specific period, but a random amplitude. Using a recurrent neural network, classify each wave form by period.