An example of using histograms, scalar summaries, and creating images in Tensorboard.
We create a genetic algorithm to optimize an individual (array of 50 numbers) toward the ground truth function.
How to use TensorFlow to do k-means clustering. We use the Iris data set, set k=3, and use k-means to make predictions.
Here, we show how to use TensorFlow to solve a system of ODEs. The system of concern is the Lotka-Volterra predator-prey system.
We illustrate how to use TensorFlow’s gradient boosted regression and classification trees.
Here we show how to use the Keras sequential model building for a fully connected neural network and a CNN model with callbacks.