Ch 11: More with TensorFlow Visualizing Computational Graphs (with Tensorboard) An example of using histograms, scalar summaries, and creating images in Tensorboard. Working with a Genetic Algorithm We create a genetic algorithm to optimize an individual (array of 50 numbers) toward the ground truth function. Clustering Using K-means 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. Solving a System of ODEs Here, we show how to use TensorFlow to solve a system of ODEs. The system of concern is the Lotka-Volterra predator-prey system. Using a Random Forest We illustrate how to use TensorFlow's gradient boosted regression and classification trees. Using TensorFlow with Keras Here we show how to use the Keras sequential model building for a fully connected neural network and a CNN model with callbacks.
